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Metro location, common mid-level data title, and broad analytics skillset produce high competition.
Requires experimentation and customer analytics expertise, making industry-specific experience moderately important.
Explicit 4–6 years plus mandatory experimentation, BigQuery, SQL, Dataform, and statistics increases shortlisting strictness.
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Lead analysis and evaluation of A/B and multivariate tests to measure business impact and experiment performance.
Conduct in-depth customer behavior analytics including clickstream, journey, funnel, and segmentation analysis to drive product and customer experience decisions.
Develop frameworks, dashboards, and reports to communicate experimental outcomes and business recommendations to multiple stakeholders, supporting data-driven decision-making.
4 – 6 years of experience in experimentation analytics, product analytics, customer analytics, or related analytical roles.
Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Analytics, Economics, or related field.
Strong expertise in A/B testing, experiment design, advanced SQL, BigQuery, Dataform, and statistical analysis.
Location requirement: Pune, India (DGS India - Pune - Kharadi EON Free Zone).
Expertise in experimentation analytics combined with strong customer behavior and journey analytics skills.
Ability to independently prepare and analyze large-scale datasets using GCP, BigQuery, SQL, Dataform, and Python for experimentation insights.
Experience working cross-functionally with product, business, and data engineering teams in Agile environments to influence business decisions.