Marketing Strategy, Campaign Analysis, and Performance Reporting • Design and implement data-driven marketing strategies for banking products by analyzing historical campaign data. • Build and refine targeted campaign audiences aligned with approved marketing strategies. • Leverage AI/ML models to optimize campaign performance and maximize return on investment. • Conduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights, including: • Customer segmentation using decision tree methodologies • Statistical A/B testing to evaluate campaign effectiveness • Translate business requirements into clear technical specifications and deliver robust, data-backed solutions. • Prepare and present high-impact executive-level presentations and ad hoc reports tailored to various stakeholder groups Stakeholder Engagement • Collaborate effectively with internal teams to gather inputs and ensure alignment and consistency across all deliverables. • Communicate complex analytical insights clearly and concisely to both technical and non-technical stakeholders, fostering informed decision-making. Project & Action Tracking • Oversee project timelines and ensure timely execution of key deliverables and milestones. • Work cross-functionally to monitor progress, resolve roadblocks, and provide regular updates to stakeholders. Attention to Detail • Demonstrate a meticulous approach to data handling, ensuring high levels of accuracy and reliability. • Manage multiple projects simultaneously with minimal supervision, maintaining quality and consistency across tasks. Required Skills & Qualifications • MBA or a bachelor’s degree in computer science, Data Science, or a related field. • Minimum of 7 years of experience in the analytics domain. • At least 4 years of hands-on experience with SAS, SQL, or Python for data analysis. • Strong analytical mindset with excellent problem-solving skills and attention to detail. • Exceptional communication skills with the ability to convey complex data insights to both technical and non-technical audiences. • In-depth understanding of the BFSI domain is essential. • Demonstrated ability to independently manage data structuring and analytical tasks. • Conduct deep-dive analyses to support strategic decision-making, process improvements, and performance optimization. • Identify and implement opportunities for automation and efficiency in data collection and reporting workflows. • Bonus: Experience with SAS or Snowflake automation in data environments. • Bonus: Exposure to personal loan marketing or product analytics.