Job Description

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.