C1/Senior Consultant

Job description

**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 **Responsibilities: 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. **Qualifications: 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.