Data science professionals, check out these jobs by industry giants

The demand for data science professionals was huge in 2020, and it is only growing in 2021.

While industry giants have embraced the capabilities of data science, small and medium-sized businesses have started to leverage the power of data science to improve their business processes. Owing to digital transformation, data science practices help businesses make intelligent and data-backed smart decisions, formulate strategies to make better products and solutions, manage large amounts of data efficiently to get valuable insights and predict outcomes. To utilize most of these features to increase ROI, organizations are rapidly hiring data science professionals.

If you are a data scientist or analyst, check out these hottest job openings from companies around the globe and look for your next challenge.

1. Data Analyst, Revenue Intelligence

Company: Twitter

Location: San Francisco, USA

Responsibilities

• Develop strong collaborative relationships with key stakeholders in Sales, Finance, Operations, Engineering, IT, and across the company.
• Partner with Product, Engineering, IT, and Operations teams to design, develop & deliver robust and scalable reporting automation.
• Define data systems and tools with product and engineering to produce revenue dashboards and other business intelligence reports.
• Provide daily revenue insights to the CFO and executive team.
• Develop scalable reporting solutions for non-finance stakeholders.
• Simplify complex problems & huge data sets to extract non-obvious insights.
• Be part of a great team, but capable of operating independently – managing relationships, deliverables, and expectations with your business partners.
• Be personable, approachable, and able to connect with each and every person on the team and throughout the business.
• Remain detail-oriented while working across a wide variety of projects.

Qualifications

• Bachelor’s degree required, preferably in Mathematics, Computer Science, Statistics or a Business-related degree.
• At least 4 years of work experience.
• Advanced experience with SQL and pulling data from relational databases.
• Tableau/front end design for Business Intelligence.
• R or Python is a strong plus.
• Superior Excel and proficient PowerPoint skills.
• Web design and development and/or experience in Salesforce is beneficial.
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
• Possess a demonstrable grasp of Twitter, mobile (i.e., device and carrier markets), web, and media markets.
• Exhibit an enthusiastic, can-do spirit and approach your work with curiosity, resilience, and a growth mindset in a fast-paced, dynamic, and often ambiguous work environment.
• Have a demonstrated commitment to ongoing personal growth and development.
• Passionate about technology and relish the opportunity to learn and apply new technical concepts to your work.
• An expert in SQL
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
• Strong experience with Database Management systems and coding (Vertica, MySQL, Oracle, Python, Scala, Java) who enjoys solving complex and unstructured problems.
• Deep experience in Demonstrated ability to simplify complex data sets and extract non-obvious insights with frameworks and analyses.
• Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders.
• Knowledge of the digital ad space is a strong plus.

2. Product Insights Analyst

Company: Apple

Location: Cupertino, USA

Job Summary

The Product Insights Analyst is responsible for measuring and reporting on the hardware quality of Apple’s products. This is an exciting opportunity to directly impact Apple’s customers’ experience and support Apple products throughout their life cycle.

Responsibilities

• A key resource to cross-functional teams.
• Analyze, develop and monitor visualizations and alerting mechanisms to detect quality excursions.
• Capability to handle multiple projects simultaneously and set priorities accordingly.
• Participate in feedback loops to continuously improve product quality and the customer experience.
• Articulate findings in the data and work closely with others to identify the root cause and implement corrective actions on products.

Qualifications

• 5 years of experience in manufacturing or customer support analysis.
• High proficiency experience with Tableau visualization, including large-scale dashboard deployment and maintenance.
• High proficiency with SQL and relational databases such as Teradata.
• Knowledge of coding/scripting in Python/Java.
• API data access/pipeline development.
• Data Science / ML experience.
• Knowledge of FileMaker.
• Knowledge of SAP material master, Bill of Materials a plus.
• Solid communication skills
• Expertise in converting business problems into technical solutions.
• Attention to detail.

3. Data Analyst, Quality Systems and Data Science

Company: Tesla

Location: Fremont, USA

Job Summary

Tesla’s Quality Systems and Analytics team is looking for a key player on the team who can help drive quality data analytics and help cross-functional engineering organizations to provide opportunities in product quality improvements. The candidate should have experience working with large data sets, finding the best ways to engineer the data to help create critical KPI metrics, building innovative visualizations and dashboards all the while keeping in mind what improvements can be driven in underlying data systems.

Responsibilities

• Analyze manufacturing, equipment, and vehicle data and extract useful statistics and insights about failures in order to drive meaningful improvements to product quality and customer experience.
• Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering to data processing and modeling.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Identify data sources where the potential value is not fully realized and invent new means with which to interact and gather insights from them.
• Monitoring key product metrics, understanding root causes of changes in metrics
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports.
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis.
• Maintaining existing data visualizations, data pipelines, and dashboard enhancement requests.
• Automating analyses and authoring pipelines using SQL, Python, Airflow, Kubernetes based ETL framework.
• Develop and maintain real-time data streaming and processing pipelines using Kafka.
• Drive underlying data systems improvement by working with key cross-functional stakeholders.
• Perform data quality validations to ensure data creation is as per the business needs and expectations.
• Work with management to prioritize business and information needs.

Qualifications

• BS/MS in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics, or other technical fields.
• 3+ years of work experience in data analytics or engineering-related fields.
• Strong knowledge of SQL and experience with multiple data architecture paradigms (MySQL, Microsoft SQL, Vertica, Oracle, Kafka, Spark).
• Proficient at ad-hoc analysis using SQL queries, python data analysis packages (e.g.Pandas, Numpy), report writing, and presenting findings.
• Proficient in data visualization techniques and tools using Tableau, Power BI, Superset, Matplotlib, Plotly, etc.
• Knowledge of various data communication protocols (e.g. REST API, Websockets).
• Strong understanding of various statistical techniques to effectively summarize data findings.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong knowledge of data warehousing concepts, data mining tools, and techniques
• Knowledge of manufacturing and service operations preferred.
• Able to work under pressure while collaborating and managing competing demands with tight deadlines.
• Excellent communication skills and ability to work with different business stakeholders to understand, identify and translate business challenges into data projects.
• A passion and curiosity for data and data-driven decision-making.

4. Data Scientist

Company: TikTok

Location: Singapore

Responsibilities

• Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis on markets, products and competitors.
• Prove the business impact of projects using methods like experimental designs, cohort matching, and causal inference.
• Understand underlying data sources and their limitations. Create innovative approaches to answer pressing questions, prepare complex data analyses and models that help solve issues, drive the scaling of automated processes and deliver significant measurable impact.
• Act as an analytics translator, communicating complex data insights through exploratory analysis and research to discover potential bottlenecks to suggest improvement and workflow of internal teams.
• Liaise with team members and management in understanding their data needs and providing data support.

Qualifications

• 2-7 years of hands-on mathematical modeling experience in a business environment.
• Proficiency in Python packages such as pandas, seaborn, scikit-learn, dplyr or nltk
• Advanced knowledge of statistical and data mining techniques (k-means clustering, regression, decision trees, clustering, neural networks, etc.).
• Proven experience in working with large datasets and relational databases (Hive, SQL)
• Ph.D. in quantitative fields like Computer Science, Engineering, Statistics, Mathematics, or related field required.
• Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way to both technical and non-technical audiences.
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions.

5. Data Scientist (Deep Learning)

Company: Binance

Location: Singapore

Job Summary

As a data scientist, you must be a quick learner with stellar machine learning skills, rich and solid experience from inception to business impact, strong communication capabilities, and work well in cross-functional teams (e.g. with data users from different marketing and consumer teams). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize yourself with Blockchain-based technology and etc. while making a real impact on Blockchain and Crypto-Currency technology globally.

Responsibilities

• Conduct applied research and development in AI applications that involve computer vision, natural language processing, speech processing, and other related techniques.
• Work closely with other team members on implementing algorithms that power user-focused products.
• Build and release models, and elevate customer experience and track impact over time.

Qualifications

• MSc or Ph.D. in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics with at least 5 years of relevant industry experience.
• Excellent hands-on experience with popular ML frameworks such as PyTorch or TensorFlow.
• Fluent in English both written and spoken.
• Experience with application development practices at scale.

Preferred Qualifications

• Good experiences in Computer Vision particularly on OCR and text extract with deep learning-based end-to-end solutions.
• Good global team collaboration skills and experiences are good add-ons as well.
• Publication record at top conferences and journals is a plus.

6. Data Scientist (Car Experience)

Company: Spotify

Location: Stockholm, Sweden

Responsibilities

• Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers who are passionate about Spotify’s consumer experience.
• Design, implement, and maintain ETL pipelines in Scala and Google BigQuery.
• Perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product, design decisions, and business performance.
• Communicate insights and recommendations to stakeholders across Spotify.
• Be a key partner in its work to build out the company’s product strategy so that it is relevant in the daily lives of consumers.
• You will work out of the Stockholm office.

Qualifications

• At least 3+ years relevant experience and a degree in computer science, engineering, statistics, mathematics, economics, or another quantitative subject area.
• Strong interpersonal skills and are comfortable working with multiple stakeholders
• Start-up mindset, comfortable with juggling multiple tasks at once. Prepared to tackle problems outside of one’s comfort zone.
• Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
• Strong SQL skills and proficiency with Python, or similar programming languages, even better if experienced in Scala / Spark.
• Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
• T-Shaped. Your primary area is data science but you are comfortable with the second area such as data engineering.
• Bonus point if experienced with Google Cloud Platform infrastructure.

7. Analyst, Creative Labs – EMEA

Company: Netflix

Location: Amsterdam, Netherlands

Responsibilities

• Leading and attending cross-functional meetings with partners to understand ongoing and upcoming product business objectives and prioritizing creative questions and ideas according to those business objectives (emerging markets, automation-assisted asset creation for scale, etc.).
• Prioritizing business objectives and ideas from key stakeholders to develop creative curiosities into testing hypotheses and strategies.
• Drafting and driving the execution of specific qualitative and quantitative analyses on the various creative assets.
• Collaborating with data science partners on metric, tooling, and dashboard development is crucial to providing feedback to creative design strategies.
• Partnering with product innovation partners to inform and ensure optimal execution of tests and related initiatives.
• Identifying opportunities specific to your market while staying highly aligned with your core Labs team and their objectives.
• Constantly documenting and communicating upcoming tests and changes in strategies and operations as they relate to the creative assets.
• Consistently rethinking and improving the ways by which we collect ideas, aggregate insights, and communicate those insights broadly.
• Addressing questions and issues related to tests and results surrounding creative assets from both engineering and creative producer partners.

Qualifications

• 6+ years of relevant work experience as an analyst, product manager, data scientist or creative program manager.
• Experience with A/B testing, data analysis, and ideation of new product features and processes.
• Ability to effectively distill and communicate complex concepts in a digestible manner.
• The soft skills to recognize when to challenge conventional thinking, the courage to voice suggestions and the maturity to accept feedback on ideas and work.
• Understanding of and passion for algorithms and machine learning.
• Demonstrated data fluency; comfortable with large datasets, constructing queries, designing data visualizations and extracting meaning from your analysis.
• Bachelor’s degree or higher.

8. Data Scientist

Company: Warner Bros. Entertainment

Location: Hamburg, Germany

Job Summary

In this role, you should be highly analytical with a talent for analysis, math, and statistics. Critical thinking and problem-solving skills are of course essential for interpreting and explaining data to normal human beings. You will be responsible for developing and building innovative data science solutions that utilize machine learning algorithms, statistical and quantitative modeling approaches to support content creation, marketing, distribution strategies, and other initiatives.

Responsibilities

• Building a data infrastructure in Amazon Web Services to ensure a holistic view of the data ecosystem.
• Responsible for reporting in media, programmatic & social.
• Develops data clusters for programmatic audience marketing & responsible for data segmentation.
• The Data Scientist will work in a team to get the best out of data for our business, find unseen patterns, and derive meaningful information for business decisions.
• Analyzing, compiling, cleansing, interpreting, joining, and staging data.
• Partner with content analytics and engineering teams to develop tools and foundational data sets for consumption from technical and non-technical stakeholders.
• Delivering business intelligence and data visualization dashboard solutions.
• The candidate should be a SQL expert; must be able to optimize queries and join datasets efficiently.
• Proven track record of performing comprehensive analyses independently.
• Synthesize large volumes of data and complex concepts into clear accessible learnings.
• Prepare and present data science results and analytical insights to stakeholders and leadership.

Qualifications

• Ability to swiftly gain competence with a range of custom management systems and tools (Business Intelligence, Data Dashboards, SAP).
• Experienced in DMP data segmentation.
• Experienced with Ad Words, FB Business Manager, YouTube Insights, Doubleclick, Sizmek Backends, Amazon Web Service infrastructure.
• Has a good understanding of technical web implementation (Pixel Code, HTML)
• Experienced with Python.
• Excellent written and oral German and English communication skills required.
• High tolerance for ambiguity and a fast-changing environment.
• Detail-oriented and cares about the quality of the input data as well as how the processed data is ultimately interpreted and used.
• Strong communicator, for both technical and non-technical audiences
• Excited to work in the entertainment industry.

9. Data Scientist

Company: McKinsey & Company

Location: Lisbon, Portugal

Job Summary

You will be involved in codifying the company’s best analytics expertise into a centralized library and methodology and delivering that library to clients.

In this role, you will deploy your analytics expertise into production, measuring and delivering tangible insights and value for the clients leveraging data science methodologies. You will create innovative approaches to answer McKinsey & Company’s clients’ most relevant questions around commercial topics and ensure that these approaches are codified and can be re-used. You will act as an analytics translator and as an owner of advanced pieces of analytics code. You will have a strong understanding of the design and development process of data analytics tools and experience working with data engineers, product teams, and clients. You will also help build the teams by collaborating with others across the practice and beyond and mentoring younger tenured colleagues.

Qualifications

• Bachelor’s degree in a quantitative field like computer science, engineering, statistics, mathematics, or related field; advanced degree is a strong plus.
• 2+ years of hands-on data scientist mathematical modeling experience in a business environment or equivalent.
• Proficiency in Python, R.
• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
• Proven experience in working with large datasets and relational databases (SQL)
• Knowledge of additional programming languages is a plus (C++, Java).
• Intellectual curiosity along with excellent problem-solving and quantitative skills including the ability to disaggregate issues, identify root causes, and recommend solutions.
• Strong leadership skills; ability to inspire others, build strong relationships and create true followership.
• Result-driven, demonstrating a professional attitude.
• Strong people/team orientation skills.
• Distinctive communications skills; ability to communicate analytical and technical content in a comprehensible way.

10. Data and Insights Analyst

Company: Procter & Gamble

Location: Sydner, Australia

Responsibilities

• Lead analytical projects and be accountable for delivering business value.
• Lead creation and execution of analytic action plans that address top-priority business challenges and create valuable insights.
• Develop in-depth business and analytical knowledge for building relevant solutions and services – spanning retail analytics, eCommerce, media analytics, and others.
• Consult and coach business teams on appropriate uses of data, analytical solutions, and tools.
• Work in multi-functional teams to evaluate business activities.
• Work with a diverse group of people within the P&G organization and the global analytics community as well as with external business partners.

Qualifications

• Undergraduate or Masters’s Degree level qualifications. Preferred (but not a requirement) disciplines include Business Analytics, Business Studies/MBA, Economics, Statistics, Engineering.
• Min 2 years work experience in a business-facing role, preferably within FMCG or similar industries.
• Track record of solving tough business problems, all the way from understanding a business question to communicating and actioning the solution, leveraging multiple, complex data sources in the process.
• Work experience mining vast amounts of data using statistical methods or machine learning models to provide actionable insights.
• Advanced knowledge of analytical tools. Work experience or certification in SQL and Python or R.
• Excellent written and verbal communication skills to influence others to take action
• Comfortable handling multiple priorities, strong problem-solving skills, and a “can-do” attitude.
• Business background and interest and technical/analytical skills are preferred.

All the above information is taken from credible sources. For more information about privileges and perks, head to the company’s official websites to read and apply.

The post HOTTEST DATA SCIENCE JOB OPENINGS AROUND THE WORLD, JUNE 2021 appeared first on Artificial Intelligence.

Big data and data analytics jobs around the world.

Big Data is a big thing in today’s world with tremendous growth opportunities for professionals. As companies around the world are aggressively hiring data professionals to extract insights for their businesses, data analysis has become a striking career choice. Organizations across industries want to take advantage of big data to stay ahead of the competition.

A big data scientist or a data analyst, if you’re a data professional looking for a big, new project, check out these full-time, big data job openings in renowned companies across the globe. To help you crack the interview stage, check out these popular big data interview questions and answers.

1. Senior Insights Analyst

Company: LinkedIn

Location: Sunnyvale, CA

Job Summary

As a Senior Insights Analyst in the Product Operations organization, you will leverage one of the richest proprietary data sets in the world to create compelling, impactful, and actionable insights for the company, and the product and operations teams. Your expertise will help LinkedIn deepen the intelligence from its member/customer signals, and elevate the quality of the company’s products.

Responsibilities

• Leverage Linkedin’s unique data to drive insights and learnings for product improvement.
• Build and scale insights to help our teams deliver exceptional products and services to all members and customers.
• Partner closely with our Product Operations teams to turn data into action, and provide recommendations to influence and shape the product strategy and roadmap.
• Write SQL/Presto/Spark/Python queries to extract, blend and analyze structured and unstructured data, and present the findings in Tableau and PowerPoint.
• Partner and execute with Data Science, Business Intelligence, Engineering to ensure foundational data are available and accurate for insights tools and analyses.
• Build analytical tools, products, and dashboards to democratize insights and enhance our collective storytelling ability.
• Apply statistical models and causal inference methods to uncover trends, measure impact, and predict the future performance of our product.
• Connect signals we have from our members and customers across, including but not limited to: customer support cases, social media mentions, behavioral data on the platform, and more.
• Help develop the predictive analytics engine in partnership with Data Science to project the impact of friction reduction in products.
• Own the analytical framework, and provide methodology & measurement for new product quality metrics like user success & sentiment.
• Collaborate closely with product, operations, engineering teams to provide analysis, reporting, and tool-building capabilities that inform our key stakeholders.
• Proactively identify opportunities to scale insights through automation and self-serve mechanisms.
• Coach and uplevel our signals and product quality teams on tools, analytics, and insight.

Qualifications

• 5+ years experience in analytics or quantitative role.
• Degree in math, statistics, economics, or related quantitative field.
• 3+ years experience in a role requiring research, data interrogation, analysis, and visualization.
• 5+ years of experience writing and optimizing SQL queries to extract trends.

Preferred Qualifications

• MA/MS/Ph.D. in math, statistics, economics, or related quantitative field.
• Experience in a role requiring influencing R&D and measuring product impact.
• Ability to convert a complex data set into an actionable recommendation.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Experience in the Technology, Product, and/or Consultative industry providing actionable insights.
• Experience with Hadoop and/or Python for ETL, and working with big data.
• Experience with statistical modeling, Python/R scripts, and packages.
• Experience with experimental design and A/B testing.
• Experience with Tableau, or other data visualization software.
• Experience with working cross-functionally with data services, engineering, product, and operations teams.
• Knowledge of social media and consumer Internet practices.

2. Data Analyst, Globalization

Company: Netflix

Location: Los Gatos, CA

Job Summary

As a Data Analyst, you will collaborate with Netflix’s Analytics Program Manager and other Globalization team members, to support the data and infrastructure that translate business requirements into operational excellence. You will learn everything about Globalization data in order to provide relevant and valuable insights into its performance. You will use your analytical capabilities to create Globalization- and Netflix-ready dashboards to review, measure and manage the business.

Responsibilities

• Track and maintain data integrity across multiple tools and workflows; identify and resolve data inconsistencies.
• Prepare regular business health and insights decks for globalization.
• Build and manage external-facing reporting for the team.
• Build and maintain data ingestion pipelines.
• Perform ad hoc analyses and queries as necessary (for requests that cannot be answered via existing dashboards).
• Provide analytical support for initiatives (that are fairly straightforward but might require complex analytics).
• Collaborate with the Analytics Program Manager to create an optimized business operations framework against which the Globalization team can perform and support translation at scale.
• Develop and maintain effective communication tools to report business performance and drive business decisions both internally (vendor QBRs and newsletters) and externally (dashboards) for globalization.

Qualifications

• BA/BS degree in Data Analytics, Business, Finance, or Operations.
• 3+ years of experience in consulting, business operations, or data analytics at a global scale.
• Required Skills: advanced SQL, advanced python (pandas & NumPy, data visualization libraries), ETL, Tableau (or similar dashboard platforms); experience with Jupiter notebooks preferred.
• Excellent analytical skills with experience managing and utilizing large data sets to drive performance and process improvement.
• Strong communication skills with the ability to effectively communicate risks and dependencies, and to distill complex concepts into simple, actionable recommendations at the leadership level.
• Drive decisions and change management through data analysis, collaboration, and leadership.

3. Data Analyst

Company: Twitch

Location: San Francisco, CA

Job Summary

Twitch’s Viewers Analytics team is looking for a product data analyst. The Viewers team develops customer-facing products that connect viewers and streamers, such as Browse, Search, Notifications, and Recommendations. As part of the Viewers Analytics team, you will improve the quality and velocity of product decisions made in the Viewers team. You will instrument tracking events, gather data, suggest metrics, design AB tests, build dashboards, and produce insights for your product partners. You will report to the Viewers Analytics Lead.

Responsibilities

• Become a domain expert at the product surface your support, building trust with your product partners.
• Ensure your product, engineering, and design partners understand and use the insights you produce.
• Automate data monitoring requests and frequently asked questions in dashboards.
• Troubleshoot data quality issues, communicate their impact, and propose solutions or workarounds.
• Distill complex problems and highlight trade-offs between solutions, with the help of product partners and analyst mentors.

Qualifications

• Great SQL skills, so you can quickly tap into our data sources.
• A clear understanding of hypothesis testing, p-values, and bootstrap methods, so you can explain them to product partners unfamiliar with statistics.
• At least 6 months of experience transforming data into insights in a related industry, or equivalent data analytics experience. Internships count!
• Experience using Python data libraries like pandas, NumPy, or scipy.

Preferred Qualifications

• Experience designing and analyzing AB tests in a tech company.
• Product analytics experience with signup funnels, engagement metrics, and retention analysis.
• Python programming experience beyond data or analytics.
• Experience developing Tableau dashboards.
• Familiarity with Git or other version control tools.
• Passion about online communities and games, frequent Twitch user.

4. Senior Data Analyst and Modeler

Company: JPMorgan Chase & Co.

Location: Glasgow, Scotland

Responsibilities

• Analyze and catalog files and processes which are currently sources of data specific to the domain of interest of transactions & positions.
• research, design, document, and modify data specifications throughout the production life cycle. Data will be available in diverse formats ranging from Text files, databases, JSON, Kafka messages, etc.
• Analyze the requirements from the consumers based on your understanding of the Conformed model, model source data to the model enhancing the same where necessary.
• Take into account the limitations of the underlying tech infrastructure and cater the solution so that it can be implemented and is maintainable.
• Develop productive business relationships and integrate activities with IT team members, Quality Assurance, Software Development, and Database Administration teams, to ensure successful deployment and support of Production issues and various Projects/Assignments handled in the Applications domain.
• Work collaboratively with stakeholders to facilitate and positively influence solution development and ongoing support. Maintains confidentiality of the information and uses information appropriately.
• Exhibits sound judgment when making decisions and recommendations and serve as the conduit between the customer community (internal clients) and the software development team through which requirements flow.

Qualifications

• Bachelor’s Degree with specialized coursework in Computer Science or Management Information Systems.
• Significant years of experience as a data analyst and/or modeler.
• Knowledge of Wealth Management & associate accounting is a must.
• Extremely proficient with SQL and using SQL to analyze data.
• Knowledge of Big Data and Hadoop platforms, Kafka, Cassandra are a plus
• Ability to operate effectively in ambiguous situations.
• Ability to learn quickly, manage work independently, and is a team player.
• Ability to engage with developers & stakeholders including – consumers, project management, upstream, senior management & peer group.

5. Senior Analyst

Company: eBay

Location: London, United Kingdom

Job Summary

eBay is looking for a senior analyst to join the UK Analytics team with significant responsibility for delivering business Analytics. The London-based team specifically manages the UK Trading businesses and supports the EU Marketplace Businesses by creating and delivering actionable analytics insights to support UK business performance and develop a deeper understanding of business drivers and opportunities mainly focused on Seller Performance, Customer Insights, Promotions, and Pricing.

Responsibilities

• Support Business Decision-making through data-driven Actionable Insights.
• Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our core products.
• Work with Business Partners to scope analysis to answer key business questions – challenge their thinking and become a trusted business partner. Help the business prioritize analytical deliverables and manage their expectations.
• Measure and interpret the impact of business initiatives and new products and features.
• Develop and deliver the business story from the analysis and effectively communicate this to business and finance partners.
• Providing weekly updates on business performance to finance, cost, and promotional teams.
• Insight Analytics including ad-hoc deep dives, cost estimation, and forecasting, etc.
• Identify, extract and analyze relevant information from multiple data sources (primarily Teradata).
• Assess internal/external factors that may influence customer usage and important metrics.
• Be the Customer: Buy, Sell, and Engage with eBay’s mission of connected commerce.

Qualification

• An established analytical career as a Data Scientist/BI/Insight Analyst preferably within e-commerce, consumer web, retail, media, digital marketing, or consultancy environment.
• Graduate degree (ideally in a quantitative field).
• Proven ability in clearly defining a problem, collating the required information, analyzing the results, and presenting findings and recommendations.
• Ability to initiate and drive projects to completion with minimal mentorship.
• Strong technical and financial modeling skills with commercial business insight.
• Advanced level skills in SQL and Tableau and Excel are a requirement. R Desirable
• Proven experience in the analysis of relational databases e.g. Teradata or Hadoop and strong SQL/SAS/R programming skills.
• Experience in working with big data, including data extraction & optimization techniques, and reporting/visualization, in particular using data visualization tools.
• Experience in web analytics is not essential but useful.
• Fluency in English is a requirement.
• Excellent communication skills.

6. Data Analyst

Company: AXA UK

Location: Glasgow, Scotland

Responsibilities

• Extract data from primary and secondary sources. Format and interpret the data so it can easily be understood, analyze data using statistical techniques.
• Work with a variety of data tools and databases, designing solutions, maintaining data, creating, updating, reading, and deleting records.
• Collect data from multiple sources, handle raw data, cleanse data and convert it into structured formats ready for further analytics and data science.
• Work with big data in a data lake on a cloud platform.
• Work and collaborate with other data professionals; data engineers, MI engineers, data scientists.
• Work with business stakeholders to communicate with data, preparing reports, analyzing KPIs and other metrics.
• Create and maintain business glossary, data dictionaries and classify data according to local priorities.
• Implement data by design processes along with Data Architects, DPO, and other stakeholders.

Qualifications

• Mathematical skills (especially statistics and probability).
• Strong excel skills, experience in working with and manipulating data.
• Experience with visualization tools and reporting packages (e.g. Power BI).
• Experience with relational databases, SQL language, ETL frameworks. Knowledge of Python and R desirable.
• Adept at queries, report writing, and presenting findings.
• Knowledge of data management and data governance practices including data protection.
• Strong oral and written communication skills, autonomy, curiosity, rigorous in execution, team player and able to coordinate a network of stakeholders from various backgrounds, ability to understand business needs.
• Strong problem-solving capability.
• Knowledge of agile methodology/MS Devops desired.
• Desired experience and knowledge of Salesforce.

7. Research Analyst – Technology Advantage

Company: Boston Consulting Group (BCG)

Location: Madrid, Spain

Job Summary

As a Research Analyst within BCG’s Data & Researcher Services team, you would provide secondary research in support of proposals, client cases, and business or IP development initiatives, with specialization in one or more Technology Advantage related topics.

Technology Advantage topics covered by the team on a regular basis include Digital/IT, Big Data, Agile, IT/Tech Infrastructure, Enterprise Architecture, Cloud, AI, and Digital Transformation. You will be responsible for delivering a variety of requests throughout the day.

Responsibilities

• Manage various research requests with a high-level accuracy and organization, primarily on key Technology Advantage topics you have a strong interest in.
• Understand request objectives focussed on Technology and IT industry and proactively suggest the most appropriate and efficient research approach to senior DRS team members and customers, as appropriate.
• Evaluate the source quality and data accuracy, and proactively help to identify and raise research-related issues.
• Engage in thought partnership with consulting teams and knowledge teams to understand, scope, and deliver accurate, timely, and relevant data and information.
• Coaching Research Associates and outsourcing partners, as well as delivering data quality analysis with them.
• Along with collecting, summarizing and synthesizing relevant data and information into appropriate, concise, timely, and highly effective output, you are proficient in Excel, Word, and PowerPoint.
• With guidance, you will develop tools, resources, and training within the Technology Advantage topic, you will be contributing to knowledge capture and documentation.
• Using your strong analytical thinking, you will provide advanced synthesis, and develop deep expertise in specialized research tools, databases and sources.
• In addition to being intellectually curious and being able to work in a fast-paced, deadline-focused environment, you can identify practical, timely, and innovative research approaches.

Qualifications

• 2-4+ years relevant working experience, with some specialization in 1-2 topics in Digital/IT, Big Data, Agile, IT/Tech Infrastructure, Enterprise Architecture, AI, Cloud, and Digital Transformation sectors.
• Bachelor’s degree with a strong preference for analytic programs (e.g. economics, engineering, sciences).
• Excellent English; + fluent in another European language (German preferred, Spanish).
• Hours of operation for DRS will be 9:00 am – 18:00 CET. Your regular full-time work week will be 40 hours a week.

8. Junior Data Analyst

Company: NielsenIQ

Location: Warsaw, Poland

Job Summary

Data Analyst works in the operational part of a global business unit called Retail Direct Data Solution. This global team, present in countries such as France, UK, the US, Australia, Romania, and Poland, provides clients from and outside Europe with stock management solutions aimed at improving on-shelf availability. The key purpose of the job is to develop and maintain key business metrics for Global clients to assess the sales/stocks effectiveness. As a Data Analyst, you will be designing, testing, and validating the logic for new metrics, you will create different excel-based reports associated with the validation of the new logic and cooperate on a daily basis with the Business Analyst.

Responsibilities

• Work on designing, testing, and validating the logic for new metrics solutions to our clients.
• Deep data analysis for various data sets.
• Control the creation and release of analytics internally and to our clients (this involves scheduling work with offshore resources).
• Maintain documentation for solutions.
• Mentor junior members of the offshore and onshore teams.
• Create efficiencies in the way we manage our global analytics requirements by establishing global ways of working.
• Organize and support a library of solutions available to provide information to other departments and to make it easier to support.

Qualifications

• 1+ years of analytical experience, working with data/databases in a large company.
• Proficiency in Excel (Advanced level).
• Fluent command of English.
• Proven track record of being detail-oriented, client service driven, and committed to the timely execution of tasks.
• Experience with R/Python language usage in regular work will be a plus.
• Experience in cooperation with off-shore resources will be a plus.

9. Senior Analyst – FP&A

Company: Spotify

Location: Stockholm, Sweden

Job Summary

The FP&A team is responsible for owning and managing the company’s financial forecasting process as well as partnering with business stakeholders to enable and drive financially informed decision-making. As a Senior Analyst, you will have the exciting opportunity to grow and develop your skills as a finance business partner through various responsibilities, including financial modeling and analysis, forecasting and budgeting, management reporting, and data analytics.

Responsibilities

• Build and maintain detailed and dynamic financial models that are powered by big data to inform quarterly forecasts, budgeting/planning across the P&L, investment evaluation and prioritization, and commercial decision-making.
• Partner closely and regularly with both business and support teams to track business performance, exercise expenditure and investment controls, and identify risks and opportunities to our financial outlook.
• Manage and deliver on operational and analytical processes connected to each accounting period close, including accruals, variance analysis, management reporting, and/or model recalibrations as necessary.
• Use your communication and storytelling skills to frame issues effectively and translate the outputs of your financial analysis into impactful insights and compelling business recommendations.

Qualifications

• 5+ years of relevant, applied experience in finance/accounting, operations, strategy, consulting, or banking roles (exposure to SaaS, advertising, and/or content business models is preferred).
• Strong grasp of the 3 financial statements, with a high aptitude and enthusiasm for problem-solving through quantitative modeling and analysis.
• Advanced Excel / Google Sheets skills with a deep understanding of model architecture, formula efficiency, pivot tables, and macros.
• Savvy and experienced with forecasting, reporting, and procurement software (e.g., Adaptive, NetSuite, Coupa, etc.).
• Prior experience with SQL/BigQuery and BI/data visualization tools (Looker, Tableau) is a plus – you will be required to eventually learn and apply these skills on the job.
• Experience forming relationships across all levels of an organization and comfortable presenting to a broad range of audiences.
• Self-starter who is proactive, intellectually curious, and not afraid to seek out projects independently.
• Structured thinker with the ability to frame and reason through sophisticated business problems, even in the face of ambiguity or imperfect information.
• Strong communication and influencing skills, both verbal and written, as well as a collaborative mindset and approach to work.

10. Big Data Lead

Company: BARC India

Location: Mumbai, India

Job Summary

Manage Developments, Releases, and DevOps of high volume and complex data Processing Engine processing millions of rows every day using multiple processing algorithms and models. The chosen candidate should be able to handle multiple projects and be able to manage development cycles over multiple technology stacks.

Responsibilities

• Draft Understanding of big data requirements for providing solution design and managing development sprints.
• Documenting pipelines and strategizing automation.
• Document and manage end-to-end development, testing, and deployment tasks.
• Responsible for reviewing and optimizing existing ETL processes.
• Documentation and production support.
• Release management across multiple projects.
• Responsible for developing and managing workflows of various modules in the data validation pipeline.
• Delivery of big data reports over different data structures and transformation tools for resolving Ad-hoc business queries/reported bugs within SLAs.
• Delivering presentations to management on the team updates.
• Working knowledge for setting up cloud infrastructure and managing the same.

Qualifications

• Tech (Comp. Sc), BCA/MCA, or equivalent
• Minimum/Relevant Experience
• Total 10+ year experience
• 5+ years of experience in managing big data projects, and reports.
• 5+ years of experience in managing projects across technologies.
• 10 years of industry experience.
• Very strong and demonstrable hands-on experience managing Big Data Projects.
• Deep Knowledge of Hadoop, Spark, and Job Server Environment.
• Strong knowledge of Performance Tuning and Advanced Optimization.
• Knowledge of SQL / query languages and working with SQL as well as NoSQL databases.
• A good understanding of data structures and database management required.
• Analytical skills over Advanced SQL.
• Good knowledge of different technology stacks should be able to manage/mentor the development cycles.
• Expertise in High Volume Data Processing Production environment (not pilots or POCs).
• Knowledge of Git, SVN, and JIRA.
• Working knowledge on Jenkins.
• Good knowledge of AWS, EMR, and management of servers.
• Other programming languages like Java, C#, Kotlin, Objective C.
• Java Script frameworks like Angular/Vue/React.
• Good hold on Programming concepts like MVC, MVVC, Functional programming, OOP.
• Databases PostgreSQL and MongoDB

All the above information is taken from credible sources. To apply for the jobs above, visit the company’s official website and head over to the career section.

The post NOW HIRING! TOP BIG DATA JOB OPENINGS IN RENOWNED GLOBAL ORGANIZATIONS appeared first on Artificial Intelligence.

No second thoughts to the fact that today, the world runs on data. Irrespective of whether you want to create something or come up with better decisions, the dependence on data is insanely high. Well, data doesn’t stop there. It continues to rise, way beyond one’s imagination. Simply put, this data is humungous – thanks to the technology rich world that we are living in. gone are the days when data in petabytes was addressed. Now is the era of zettabytes. Just about a decade ago, the data across the world was limited to a few zettabytes. But, today we’ve crossed a century already!

Data forms the backbone of every possible field that you can think of. Companies and industries rely on data to formulate their business strategies. Following this, they carry on with their day-to-day operations. Where to invest, how much to invest and why to invest – all of this revolves around data. It is only by virtue of data that companies are able to apply the right marketing strategies that makes it possible for them to align with what the customers expect. Doing so, not only increases their customer base but also helps them in creating value and making profits at the same time. Healthcare, finance, education, defence, you name it and you learn how each and every sector relies on data to draw meaningful insights. Since, it is impossible to think of a life without data and how critical it is to lead our lives, the scope that this field has is immense, without a doubt. The rising demand for data-related jobs is hence not surprising.

This is where ‘data scientist’ as a job comes into picture. When Harvard Business Review itself has termed the role of a data scientist as “the sexiest job of the 21st century”, is there any other validation required?

Data scientists are concerned with transforming the raw, unstructured data into a form that it is possible to draw meaningful insights from the same. The data obtained should be such that the company is in a position to take better decisions and take the business to new heights. But, what is observed across the globe is that there is a huge gap between what the organizations demand and what the candidates are capable of delivering. It is because of this that the number of vacancies in these jobs is huge.

All this throws light on how can one get skilled to be able to fit in the role of a data scientist. Yes, it does require some effort to be put in. But, all this would be worth it, for sure.

Here’s everything that could help you grab the sexiest job of the century

• Usually, graduation in the field of engineering, computer science, statistics are given importance to. But, on the bitter side, a degree alone might not be enough.

• You need to understand what sets a data scientist apart from the rest, what are those unique skills that are required.

• Companies are more interested in the skill-set that the candidates possess. A clarity on the skills desired and working on the same is the key here.

• Yes, coding skills are critical but what you need to understand here is that data scientists typically need to be adept at programming languages such as Java, Python, SQL, R, and SAS.

• Techniques such as decision trees, neural networks, clustering, etc. play a pivotal role in the day-to-day activities of a data scientist. Hence, a sound knowledge about them helps.

• How can one not talk about Big Data frameworks while talking about data scientists? A good knowledge about Big Data frameworks such as Hadoop, Spark, and Pig, to name a few would help you land a job faster.

• Data scientists should also be familiar with technologies like deep learning, machine learning, etc.

• Since, technology keeps improving daily, it is expected that data scientists are in line with what’s happening on the technological front.

Since, it is evidently seen that data is growing exponentially, the dependence of the companies on data will continue till eternity. Data science is meant to stay and this is why the requirement of the right people who’d manage this humungous data in the best possible manner is the need of the hour. All that needs to be done now is to stay updated and skilled in the relevant areas that’d pave the way for the sexiest job of the 21^st century.

The post WHY ‘DATA SCIENTIST’ WILL CONTINUE TO BE ‘THE SEXIEST JOB OF THE 21ST CENTURY’ appeared first on Artificial Intelligence.

The demand for these sought-after positions continues to grow in importance, according to analysis of job openings for March 2021 conducted by LHH.

Many tech workers find themselves on the precipice of change: their organizations may decide to continue remote work for the foreseeable future, they may adopt a hybrid work schedule or they’ll return to on-premises full time. But while a recent study showed that most employees said they’ll stay in their current positions, they also said they expected a greater return from their employers, which means if they don’t get that “return,” they’ll be on the job market. 

SEE: Hiring Kit: Technical Recruiter (TechRepublic Premium)

Many organizations were hit hard by the impact of the pandemic and, coupled with the safety protocols required for workers who do go into the office, they might not be able to accommodate employees’ demands. This represents potential for the tech industry, with pros looking for new positions and companies looking for new talent. LHH, formerly Lee Hecht Harrison, global provider of talent and leadership development, career transition and coaching, analyzed job openings for March 2021, and its findings can provide insight for tech pros, whether they want to remain in their jobs or if they might consider “putting feelers out.” 

While the LHH Job Bulletin (where the insights can be found) covers many industries, it does devote a portion to tech news. Here’s a look at what is covered in the report.

This week’s 10 most wanted skills based on job postings 

1. Communication, 646,575  
2. Dedication, 455,651
3. Analysis, 409,243
4. Leadership, 404,484
5. Collaboration, 386,936
6. Scheduling, 358,769
7. Operations, 356,270
8. Innovation, 350,042
9. Written communications, 293,720  
10. Verbal communications, 288,513

Top tech jobs in top 15 job categories

LHH noted that LinkedIn recently highlighted the top 15 job categories based on demand and growth and offered clients a look at where some of the tech-related jobs landed on that list.

No. 6 Digital marketing: COVID-19, while 99.9% awful, caused a big spike in online shopping, which in turn created a demand for marketers well versed in reaching people online. Digital marketing hires grew nearly 33% in 2020 from 2019. Job titles in this category include digital marketing specialist, social media manager, marketing representative and search engine optimization specialist. The salary range is $48,000 to $96,000 per year.

No. 9 Digital content: The demand for online entertainment went stratospheric in 2020. People sheltering at home binge watched and were hungry for content. Digital content creators were in demand, too, and grew 49% in 2020. Job titles include content coordinator, writing consultant, podcaster and blogger. The salary range is $46,000 to $62,400 per year.

No. 11 Software: With many employees sent to work remotely, being online was everything in 2020. Specialists needed to keep the online world up and running grew nearly 25% in 2020. Job titles in this category include web developer, full-stack engineer, front-end developer, and game developer. The salary range is $77,500 to $104,000 per year.

No. 13 User experience: The swift move to online everything in 2020 meant there was a need for experts who specialize in the interactions between people and the digital world, growing 20% in 2020. Job titles in this category include user-experience designer, product design consultant, user interface designer, and user experience researcher. The salary range is $41,600 to $65,000 per year.

#14 Data science: With everyone reliant on data and its capabilities, experts were in high demand. Hiring for data science positions grew nearly 46% in 2020. Job titles in this category include data scientist, data science specialist, and data management analyst. The salary range is $100,000 to $130,000 per year.

#15 Artificial intelligence: The massive, pandemic-induced employment shifts, layoffs, and business disruptions in 2020 resulted in companies looking to artificial intelligence as a way to keep up with increased demand, while safeguarding their businesses from future disruptions. AI hiring grew 32% in 2020. Some of the job titles in this category include machine learning engineer, artificial intelligence specialist, and machine learning researcher. The salary range is $124,000 to $150,000 per year.

Top 5 tech jobs with fastest-growing salaries 

Apart from the top tier of healthcare, the tech industry offers some of the highest salaries among industries. LHH analyzed popular roles and revealed the percentage of growth between 2019 and 2020.

• Cybersecurity analyst–16.3% growth
• Data scientist–12.8% growth
• DevOps engineer–12.2% growth
• Technical support engineer–8.2% growth 
• Cloud architect/engineer–6.3% growth

Companies with tech job openings, according to LHH

• Novacoast,a cybersecurity company, will expand in Wichita, Kansas. The company will open a Security Operations Center initially hiring 60 employees with plans to expand over the next few years.
• Pendo, a startup in North Carolina, prevailed during a pandemic-stricken year. The company plans to hire 400 more employees this year to fuel that growth as it invests heavily in its presence overseas and looks to nab more large customers to its platform. There are currently 169 open roles.
• Infosys will hire 300 workers in Pennsylvania as part of its local hiring strategy in the U.S. Infosys will recruit for a range of opportunities across technology and digital services, client administration and operations.
• Zones, an IT company,is hiring for advanced technology executives across the U.S.
• HCL Technologies specializes in IT services and consulting. It delivers innovative technology solutions built around digital, Internet of Things, cloud, automation, cybersecurity, analytics, infrastructure management and engineering.
• TEKsystems has opportunities for technical PM, product manager, SW developer, QA, mobile developer, Python developer, DevOps engineer, site reliability engineer, video streaming engineer, cloud engineer, security engineer, data center technician, and more.

The post Job trend analysis marks growth of data science, AI roles appeared first on Artificial Intelligence.

Data science interviews dropped by 15% in 2020 while data engineering interviews increased by 40%

Data science used to be the sexiest job of the 21st century. Now, the pandemic has cooled it down dramatically. The growth slowed down in 2020 after previously growing by 80% year over year in a new study by Interview Query. 

Interview Query analyzed over 10,000 related interview experiences from over 450+ companies to investigate how COVID-19 affected data science growth, tech company hiring, and interview processes.

The data shows that while the total number of data-related interviews is still growing, data science interviews dropped by 15% overall in 2020. However, FAANG companies (Facebook, Google, etc.) did not feel the economic squeeze and interviewed 25% more candidatesin 2020 versus 2019. This hiring was led by Amazon, which increased its interviews for roles by 40% over the last year.

Another notable shift has been the increase in data engineering and data analyst roles. Data engineering interviews increased by 40% in the past yearand business and data analyst interviews increased by 20%. Companies are likely cutting down on costs by hiring more data analysts rather than data scientists. Data science roles are also becoming more ambiguous and command a higher premium in salary versus data analyst and business analyst roles.

More interesting facts from the study:

• Take-home challenges were given in 25% of interviews.
• In FAANG interviews, take-home challenges were only given 8% of the time.
• The top interview questions asked in 2020 were on machine learning, coding and algorithms, and statistics.

The post Data Science Job Market Shrinking as Data Engineering Grows Exponentially, New Study by Interview Query appeared first on Artificial Intelligence.