Job Description

• Bengaluru, Karnataka

Company Description

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page.

Job Description

The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging various analytics to drive strategic thought and effective decision making. The Senior Data Analyst is responsible for conducting data analyses using SAS/SQL and other tools in support of a variety of analytic solutions.

Roles & Responsibilities

• 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, 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)
• Develop and execute SAS/SQL (or related) programs with minimal direction and supervision
• Provide problem solving and data analysis, derived from programming experience
• Demonstrate proficiency with desktop and UNIX toolsets (SAS, SAS ODS, SQL, MS Office) to create pivot tables and/or report content such as tables, reports, graphs, etc. (some positions require proficiency in digital analytic tools including Google and/or Adobe Analytics and familiarity with digital data, in addition to or in lieu of SAS/SQL)
• 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)
  • 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
• Prepare basic report content (Word, Excel, PowerPoint) in support of deliverables
• Perform two tasks related to the role of Sr. Data Analyst during the year

Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework
• 5-8 years of experience in the marketing  analytics field
• Some positions require a minimum of 1 year of experience conducting digital analytics
• Demonstrated proficiency in SAS/SQL programming; minimum 2 years of experience
• Strong analytic thought process and ability to interpret findings
• Acute attention to detail (QA/QC)
• Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
• 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

Desirable Qualifications: 

• 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