Overview
Lead the design and development of automated forecasting and valuation solutions for acquisition marketing investments at the partner, channel, offer, and segment levels, and may lead marketing investment optimization initiatives with cross-functional teams across USCB.
What you'll do
- Identify and extract relevant data from various internal and external sources.
- Perform sensitivity analysis and scenario planning.
- Monitor and evaluate the performance of existing models.
- Develop and implement data quality control procedures.
- Build and validate quantitative models to support decision-making across different business areas.
- Develop automated solutions to forecast P&Ls across partners, channels, offers, and customer segments.
- Use SAS, SQL, and Python to source, transform, analyze, and validate large and complex datasets and build scalable forecasting and valuation workflows.
- Apply statistical modeling, machine learning, and advanced analytics to improve forecast accuracy, explain business drivers, and support investment decisions.
- Use AI agents effectively and responsibly to support research, coding, model development, documentation, testing, and process automation, with appropriate human review and control.
- Conduct marketing investment optimization across USCB to enable data-informed decision-making.
- Partner with other functions and business areas, and act as contact point for stakeholders outside the immediate function.
- Lead and supervise a team, guiding and supporting professional development, allocating work and coordinating team resources.
- Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
What you'll need
- In-depth technical knowledge and experience in the assigned area of expertise.
- Experience in SAS, SQL and Python to analyze large datasets, operationalize data platforms, and apply machine learning and advanced analytics to improve forecast accuracy.
Details
- Location: Gurugram office.
Read the full description and apply on the company’s own careers page.