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Mid-level generalist data analytics role in Bangalore at a known brand attracts high candidate density.
Medium—core analytics skills are transferable, but MMM/MTA marketing specialization raises domain sensitivity.
Medium—explicit Python experience (at least 2 years) and analytics skills required but few rigid certifications.
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Drive marketing effectiveness analyses using multi-touch attribution (MTA) and marketing mix models (MMM) applying statistics, econometrics, and machine learning methods.
Collaborate with senior data scientists and cross-functional teams to deliver client-ready insights on ROI, forecasting, and optimization based on big marketing datasets.
Ensure quality control of models and translate complex analytics into clear, actionable business recommendations for major clients.
Bachelor's degree in mathematics, engineering, or related quantitative field.
At least 2 years of Python programming experience along with knowledge of Excel and SQL.
1 to 3 years of quantitative analytics experience involving marketing metrics and tracking is helpful but not mandatory.
Hybrid role requiring at least two days per week onsite at a TransUnion office.
Experience implementing and validating statistical and machine learning marketing models such as MTA, MMM, time-series, Bayesian, or segmentation analytics.
Comfortable working closely with senior data scientists and multiple internal teams to integrate analytics solutions end-to-end.
Ability to communicate complex quantitative findings effectively to senior marketing stakeholders and translate them into business actions.