Senior Data Analyst
Epsilon
- Bangalore, Karnataka
- Permanent
- Full-time
- Collaborate with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules
- Access and extract data from a variety of sources of all sizes (including client marketing databases) via SAS Access, SQL, Python etc.
- Master and perform all steps required to create analysis-ready data sets; including data integration/merging (SAS data step), variable preparation, and quality control (QA/QC)
- Provide problem solving and data analysis, derived from programming experience
- Document and articulate steps taken in an analysis to project managers
- Answer questions about data sets and analyses
- Follow all policies and procedures for programming, project documentation, and system management
- Become familiar with…
- all offerings outlined in the Insider’s Guide to ACG
- various statistical offerings and methods (CHAID, logistic/multiple regression, cluster analysis, factor analysis, statistical analysis)
- Epsilon data assets
- the SAS macro library
- Participate in the design, planning & execution of projects
- Effectively manage time and resources in order to deliver on time / correctly on a limited number (1-4) of concurrent projects
- Proactively communicate with supervisor regarding workload and the status of assignments and manage stakeholders effectively
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework
- 5-9 years of experience in the analytics field; marketing analytics experience preferred
- Some positions require a minimum of 1 year of experience conducting digital analytics\
- Strong analytic thought process and ability to interpret findings\
- Acute attention to detail (QA/QC)
- Ability to work on multiple assignments concurrently
- Excellent verbal and written communication skills
- Highly motivated and collaborative team player with strong interpersonal skills
- Effective organization and time management skills
- Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
- Database marketing experience/knowledge
- Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies