Senior Data Analyst

Location: Vasanthanagar

Senior Data Analyst Data Analytics

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

Role

Summary:

The Senior Data Analyst is responsible for the accurate and timely execution of analytic and statistical work supporting Epsilon clients, products, and revenue‑generating initiatives. This role applies established statistical methods, develops analytic code, and delivers high‑quality, well‑documented outputs for assigned analytic work streams.

Senior Data Analysts operate as experienced individual contributors who independently implement analytic projects, support client and internal requests, and collaborate with multi-functional partners. This position may have assigned clients for which the Senior Analyst is accountable for statistical deliverables. The role follows established processes and standards, exercises sound analytic judgment within defined scope, and contributes hands‑on expertise to incremental improvements in analytic workflows, systems, and tools.

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Responsibilities

Accountable for the accurate, on‑time delivery of statistical deliverables for assigned projects, including proactively managing workload and standard request queues within the Data Analytics team.
Implement analytic and research projects by confirming objectives, translating client or business needs into defined analytic approaches, applying appropriate methodologies, and delivering final analytic outputs.
Independently build, validate, and present statistically sound models using standard tools, programs, and methodologies, making informed decisions under ambiguity, and exercising judgment to identify when creative or non‑standard approaches are required and when escalation is appropriate.
Perform original research and contribute to research requests; maintain clear and comprehensive analytic documentation across the project lifecycle; and develop client‑ready materials that clearly communicate findings, implications, and data‑driven recommendations, exercising judgment and standing behind analytic conclusions while considering business, client, and operational tradeoffs.
Consult with Sales personnel and external clients by supporting client meetings and conference calls, explaining statistical concepts, and serving as a trusted analytic advisor.
Work cross functionally with internal teams, including Client Services, Data Acquisition & Performance, Modeling/Stats, T&D, Production, and Product partners, to troubleshoot data, modeling, and process issues, build effective peer level relationships, clearly explain root causes and recommended solutions, and proactively surface risks or issues before they impact delivery.
Support the development of peers through informal mentoring, knowledge sharing, and collaboration, contributing to team learning and continuous improvement.
Write new Python (and PySpark, where applicable) code, enhance and maintain existing codebases, apply relevant industry techniques and trends, and provide input on improvements to modeling methodologies and analytic workflows.
Ensure compliance with applicable privacy, data governance, and AI guidelines across all assigned analytic work, including the responsible use of AI‑enabled tools to improve efficiency and accuracy where appropriate.

Qualifications

5+ years of professional experience.
Bachelors in statistical, quantitative, or related field. Advanced degree preferred; minimum 3 years experience in a statistical field, including experience performing data analysis or modeling with large transactional databases, conducting original research, and working directly with external clients in a business environment.
Experience working with…