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.

Powerful predictors of the future, our Analytics team blends data science and business intelligence to enable extra foresight for our platform offerings. They connect insights to results for our clients by working closely with senior stakeholders, staying in tune with market trends, with the power of our big data assets. By leveraging new age analytic tools and emerging technologies, the team nurtures a perfect learning environment for enthusiastic individuals to grow and succeed.

Why we are looking for you

• 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

What you will enjoy in this role

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 2 is responsible for conducting data analyses using SAS/SQL/Python/R and other tools in support of a variety of analytic solutions.

What you will do

• 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