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Reputable brand, Bengaluru metro, mid-level generalist data analytics role increases applicant competition.
Requires marketing mix modeling and econometrics expertise, making transfers across industries harder.
Mandatory Python experience, SQL/Excel skills, and degree create moderate filtering.
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Collaborate with senior data scientists to implement and validate marketing mix models (MMM), multi-touch attribution models (MTA), and other analytic models using statistical, econometric, and machine learning techniques.
Analyze large marketing and consumer datasets to generate actionable insights on marketing effectiveness, ROI, brand equity, segmentation, and forecasting, and translate findings into client-friendly reports.
Engage in cross-functional collaboration to deliver evolving analytics solutions and improve end-to-end processes across Data Operations, Consulting, Product, and Engineering teams.
Bachelor's degree in mathematics, engineering, or a related quantitative field (required).
At least 2 years of working knowledge with Python, along with Excel and SQL.
1 to 3 years of quantitative analytics experience with marketing metrics and tracking is helpful but not mandatory.
Work setting requires hybrid presence at a TransUnion office a minimum of two days per week.
Experienced in applying statistical and machine learning techniques such as logistic regression, Bayesian statistics, ridge regression, time-series modeling, and clustering algorithms in marketing analytics context.
Comfortable working directly with senior data scientists and clients to translate complex analytical results into actionable business insights and narratives.
Able to manage multiple projects and collaborate across diverse teams in a dynamic, data-driven consulting and technology environment.