Data Analyst / Data Scientist Job Description

Data Analyst / Data Scientist Job Description

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Data analyst / data scientist provides domain expertise in big data distributed processing frameworks, Hadoop MapReduce and Yarn, Apache Spark, Open-Source and Commercial distributions (Cloudera, Hortonworks, MapR) and Cloud-based services (AWS EMR, Azure HD Insight).

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:

How can we leverage user's behavior to predict user's response to a message?
What is the best way to use user's feedback loop to drive personalized notifications in a way that would accelerate member engagement?
How do we measure accuracy of numerous Predictive models used for messaging?
Provide decision-support to Engineering and Product Management teams by performing descriptive and predictive analysis
Extract relevant insights from billions of rows of data to meaningfully improve user experience
Translate unstructured, complex business problems into an abstract analytical or mathematical framework
Conduct proactive in-depth analysis and modelling to uncover hidden opportunities for product improvement
Identify data quality issues and estimate impact
Supporting development of Cards & Personal Loans portfolio strategies, involving extensive analysis and research to understand our portfolio position, competitor activity, potential strategies and emerging market trends
Working to optimise Cards & Personal Loans portfolio outcomes

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:

Python
C#
HDFS
Hadoop
MapReduce
Object-oriented language
Commercial data visualization libraries/tools
Digital signal processing concepts and Algorithm development
Open source

Desired experience for data analyst / data scientist includes:

High-energy self-starter with a passion for leveraging data to drive significant business impact
Experience with predictive analytics, statistical modeling, and/or data mining algorithms
Advanced Degree in an analytical field
Strong SQL skills (MS SQL, Oracle, Sybase)
High proficiency with Excel including pivoting capabilities and analysis modules – VBA macros and ODBC sourcing a plus
Proficiency in at least one statistical analysis tool such as R, SAS

Data Analyst / Data Scientist Examples

1

Data Analyst / Data Scientist Job Description

Job Description Example
Our company is looking to fill the role of data analyst / data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analyst / data scientist
  • 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
Qualifications for data analyst / data scientist
  • 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
2

Data Analyst / Data Scientist Job Description

Job Description Example
Our company is looking for a data analyst / data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data analyst / data scientist
  • 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
Qualifications for data analyst / data scientist
  • 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
3

Data Analyst / Data Scientist Job Description

Job Description Example
Our innovative and growing company is hiring for a data analyst / data scientist. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data analyst / data scientist
  • 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
Qualifications for data analyst / data scientist
  • 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
4

Data Analyst / Data Scientist Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data analyst / data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data analyst / data scientist
  • 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
Qualifications for data analyst / data scientist
  • 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
5

Data Analyst / Data Scientist Job Description

Job Description Example
Our growing company is searching for experienced candidates for the position of data analyst / data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analyst / data scientist
  • 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
Qualifications for data analyst / data scientist
  • 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)

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