Overview
Senior Associate in Investment Analytics serving as the execution and quality control backbone of the IA function, ensuring analytical outputs are accurate, well-validated and ready for decision-making while supporting capability development of junior team members.
What you'll do
- Perform quality assurance and validation across MMx input datasets, control variables and assumptions, and model outputs (impactables, ROI, mROI).
- Review outputs for logic, stability and reasonability, flagging data or modelling risks early.
- Ensure analyses meet IA quality standards before stakeholder review.
- Partner with L5 Managers to translate brand strategy, promotional context and known business drivers into model parameters.
- Support decisions on variable inclusion, lags and controls, and ensure business nuances are accurately reflected in MMx and incrementality setups.
- Support MMx workflows through data preparation, exploratory analysis, parameter sanity checks (ad stock, saturation, decay) and output consistency and plausibility reviews.
- Assist Managers with interpretation of outputs that inform optimization recommendations.
- Support incrementality and test-control analyses by validating cohort definitions and baselines and checking test/control comparability.
- Ensure analytical execution aligns with study design assumptions and limitations.
- Maintain clear documentation of model assumptions, input definitions and validation steps, following IA templates, checklists and QA frameworks.
- Ensure outputs are ready for QBRs, AOPs and planning discussions.
- Provide day-to-day guidance and QA oversight for Associates (L3), reviewing their work for accuracy, clarity and adherence to IA standards.
- Help L3 Associates build foundational skills in MMx, incrementality and analytical discipline.
- Escalate risks or development needs to L5 Managers as appropriate.
What you'll need
- Bachelor's or Master's degree in Economics, Statistics, Data Science, Marketing Analytics, or a related field.
- 4–6 years of experience in analytics or marketing analytics roles.
- Strong SQL skills.
- Hands-on experience with Python or R.
- Experience working with time-series and investment data.
- Demonstrated ability to perform structured QA and validation.
- Prior experience mentoring or guiding junior analysts is required.
Nice to have
- Exposure to Marketing Mix Modelling (MMx) or econometric analysis.
- Familiarity with incrementality or experimentation analytics.
- Experience supporting analytics in pharma, healthcare or regulated environments.
- Strong communication skills with the ability to collaborate closely with Managers to deliver high-quality analytical outputs.
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.