Responsibilities
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- Drive data-driven insights to optimize marketing strategies, improve customer targeting, and enhance campaign performance.
- Analyze large datasets, track key performance metrics, and provide actionable insights to drive Marketing decisions supporting business growth, customer engagement, and overall marketing for Banking's Retail and Commercial products.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics.
- Assist clients and stakeholders in setting the marketing analytics roadmap and present analytical insights.
**Qualifications, Capabilities, and Skills:**
- Degree in Accounting, Commerce, Economics, Statistics / Mathematics, or Marketing.
- Post Graduate finance, economics, or accounting qualifications, Marketing requirement.
- Experience in Banking sector (Retail or Commercial banking) and banking products.
- Background in Marketing analytics to drive marketing decisions for the bank.
- Advanced proficiency in SQL and experience working with large, complex datasets.
- Strong experience with Excel reporting and data visualization tools (Tableau, Power BI).
- Experience in leading teams and direct client stakeholder management.
- Knowledge of marketing and financial metrics (CPL, CPA, CLTV, ROI, NPV, etc.) and experience optimizing marketing campaigns based on performance data.
- Hands-on Development experience in python/py-spark/ SAS.
- Experience with advanced analytics techniques including regression analysis and customer segmentation to extract actionable insights from customer and marketing data.
You will be a part of a larger Financial Services practice, working on various business-critical problems across different work streams. Engaging with clients and client partners to understand their business context and collaborating with a team of data scientists and engineers will be an integral part of your role. Additionally, you will have managerial responsibilities such as setting and reviewing tasks, performing QC, and supervising, mentoring, and coaching analysts in the team.
