Data Analyst / Data Scientist Job Description
Data Analyst / Data Scientist Duties & Responsibilities
To write an effective data analyst / data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included data analyst / data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Analyst / Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analyst / Data Scientist
List any licenses or certifications required by the position: SHRM, SQL, AWS, MS, CRM, CP, SCP, HR
Education for Data Analyst / Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the data analyst / data scientist job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Engineering, Science, Economics, Physics, Education, Math, Graduate
Skills for Data Analyst / Data Scientist
Desired skills for data analyst / data scientist include:
Desired experience for data analyst / data scientist includes:
Data Analyst / Data Scientist Examples
Data Analyst / Data Scientist Job Description
- Customer segmentation, aimed at deeper understanding of our customers and the broader industry insights that drive improved customer communications and online personalisation
- Insight projects aimed at improving the wider business and service we offer to our customers
- Innovation in data science techniques
- Eliminate any potential Revenue loss and inaccurate billing by developing deep insight on data and detecting issues before it gets to billing
- Evaluates and validates correctness of models created by peers
- Leverage knowledge of R/SAS to design and develop best in class statistical models to provide data insight
- Gathers data from data warehouse, create models and provide recommendations
- Use industry standard reporting tools to represent data and support business objectives
- Maintain data workflow processes providing quality control and transparency for complex data processing pipelines
- Work with other BI team members to understand, gather and document reporting requirements
- Experience with equity factor models and CompuStat / Worldscope is a plus
- Master’s degree in a quantitative field such as Statistics, Economics, Mathematics, Physics, Operations Research or Quantitative Finance
- 3 + years of experience in conducting complex statistical analysis in a business or academic setting
- Master’s degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research or Physics
- Knowledge of theoretical / empirical techniques commonly used in statistics
- Ability to create and manipulate pivot tables and graphs a plus
Data Analyst / Data Scientist Job Description
- Manage and interact with ad-serving vendor(s) and campaign management teams to ensure systems can deliver on proposed and advanced media tracking data and metrics that feed the model development and budgeting lifecycles
- Contribute to model building/development, coding, interpretation of results and visualizations
- Understand the interactions and synergies across media channels
- Consult with media strategists and deployment teams to design actionable in-market tests that provide measurable and informative insights enabling the organization to achieve acquisition and retention goals
- Enhance our proprietary strategy research platform, including historical market data replay
- Manage huge amounts of data required for back-testing intraday trading strategies
- Develop ways to better understand realised and projected strategy performance
- Have the opportunity to be involved with all aspects of a highly automated, high volume trading ecosystem
- Understand GS principal liquidity provision strategies
- Responsible for managing the technical aspects and making recommendations regarding a wide variety of software products including in the platform
- Exposure or working knowledge on various statistical techniques including Poisson & Normal distribution, f-test, t-test, Correlation and Regression Analysis, sampling techniques such as randomized sampling, cluster sampling and stratified sampling
- Master's degree (PhD preferred) in Statistics, Applied Mathematics, Computer Science or related field
- 2+ years of experience with statistical software packages (e.g., SAS, SPSS, R, or STATA)
- Pursuing a BS degree in CS, Computer Engineering, Systems Engineering, or a related field preferred
- Bachelors or Master’s degree in Computer Science, Analytics or a related discipline
- Data analysis in R
Data Analyst / Data Scientist Job Description
- Serve as the Citywide Analytics Team’s resident expert in specific technical subject areas within the field of data science (e.g., predictive modeling or text analysis)
- Develop reusable code and tools to expand the Citywide Analytics Team’s capacity
- Adopt and maintain existing data science projects and implement sustainable workflows for long-term support
- Participate in the development and promotion of best practices for the Citywide Analytics Team
- Create and maintain documentation on relevant data, code, and procedures
- Become sufficiently knowledgeable about the Citywide Analytics Team’s workflows and best practices to provide expert advice, mentoring, training and guidance to other team members, project stakeholders, and external partners
- Develop solutions and analyze complex business problems using data from internal and external sources to provide strategic and actionable business insights to decision makers
- Provide technical leadership for the BI and analytics team to perform data modeling, data load, customizing, and performance tuning and troubleshooting
- Provide subject matter expertise in developing technical standards, best practice guidelines, solution diagrams, and documentation standards
- Participate and provide input to overall Systems and Applications Strategy including Data Governance and Master Data Management related initiatives
- Bachelor’s degree in Statistics, Math or Information Technology
- Master's degree with academic application of statistical and data analysis
- Work closely with cross-functional teams to execute on decisions (experience working closely with Product Managers and Engineers is a must)
- Experience with the Department of Energy and/or the Fuel Cell Technologies Office
- Experience with Federal Government contracting and/or experience within renewable technology
- Familiar with the relationships between the Department of Energy, Industry Partners and the National Laboratories
Data Analyst / Data Scientist Job Description
- Actively seek out best practices in model validation techniques that are applicable to the models being validated
- Develop strong relationships with model owners and business line management with model developers and users
- Validation work conducted in this role should reflect the Bank’s Core Values
- The successful candidate will be expected to be a thought leader for model validation techniques contribute to model strategies being developed in various areas of the Bank
- Gather data using various sources and platforms (Web, PC, Mainframe, Unix/Linux, Teradata)
- Drive analysis to reduce customer impacts and increase operational efficienc
- Create and leverage analytical approaches to perform analysis of domain specific source data to provide accurate statements and conclusions, leading to the identification of improvement initiatives
- Perform deep-dive analysis into trading performance and market trends
- Measure and provide insight into the success of marketing campaigns across multiple channels
- Provide insight to stakeholders across the business, at all levels
- Prepare documentation which captures data acquired, logic applied
- Ability to present analysis in a manner accessible by non-statisticians through data visualization techniques
- Independent self-started with ability to multitask
- Under constant pressure to continuously meet tight deadlines, demanding quotas and/or must regularly deal with difficult situations
- A bachelor’s degree in Accounting, Finance, Supply Chain or a related field is preferred
- At least one year of experience in data mining, statistical analysis, auditing/forecasting preferred
Data Analyst / Data Scientist Job Description
- Continuously supporting the review and redevelopment of data models and customer segmentations including future / propensity modelling
- Being an active contributor on projects from start to finish
- Producing insightful analysis of data using your technical knowledge and delivering improvements for marketing campaigns
- Maintaining, reviewing and where appropriate redeveloping scorecard and segmentation systems including active modelling
- Presenting conclusions and findings to key stakeholders
- Proactively briefing out requests for information/analyses to colleagues, ensuring outputs are timely and accurate
- Researching and implementing new techniques to improve current method of analysis
- Assisting in training and developing the technical skills of other individuals
- Provide independent valuation services to internal and external clients across a wide array of OTC derivative products
- Consistently provides Subject Matter Expertise consultation regarding the assigned Technology Platform(s), both in terms of providing a deep understanding of the platform’s tech stack, best ways to leverage the platform’s capabilities
- Familiarity with large datasets (including importing/exporting data and data transformations)
- Understanding of macro-economic relationships and financial market variables is a plus
- Apply best practice data analysis techniques and data science methods to derive in-depths insights into points-of-interest data and related information including text and images
- Design and implement workflows for data analytics to gain comprehensive insights into Maps data and it’s usage
- Propose new data products / features and collaborate with other teams on the overall product and it’s implementation
- 6/8 years of experience in business analytics, program management, and supply chain management (forecasting, planning, optimization, logistics)