Support Retail Analytics by delivering MIS, campaign performance tracking, and dashboard releases to enable data-driven decisions. Ensure timely, accurate, and actionable insights to improve campaign effectiveness, reporting efficiency, and business performance.
Principal Responsibilities:
MIS & Dashboard reporting:
- Develop and maintain regular MIS reports for tracking KPI performance
- Ensure accuracy, consistency, and timely delivery of reports to stakeholders
- Automate reporting processes to improve efficiency and reduce manual effort
- Design and build interactive dashboards using Power BI or similar tools
- Provide latest data insights on business performance, campaigns, and customer metrics
- Continuously enhance dashboard usability and visualization standards
Campaign Analytics:
- Track and analyze marketing campaigns for key customer segments and performance measurement
- Evaluate campaign effectiveness and provide actionable recommendations
- Support customer-level analytics for improving campaign conversion rates
Data Analysis & Support:
- Extract, and analyze data using SAS, Python, SQL, or similar tools
- Support business teams with data-driven insights and ad hoc analysis requirements from time to time
- Assist in identifying key trends and sharing business or campaign opportunities with business team
Job Specific Competencies (required):
- Hands-on experience in SAS / Python / SQL for data extraction, transformation, and analysis
- Expertise in Power BI or other visualization tools
- Knowledge of MIS reporting and dashboard development
- Understanding of campaign analytics and customer segmentation
- Data handling, validation, and reporting automation skills
- Strong analytical thinking and problem-solving ability
- Effective stakeholder management and communication skills
- Attention to detail and focus on data accuracy
Academic Qualifications:
- Bachelor’s degree in one of streams i.e. Analytics, Data Science, Finance, Economics, or related fields.
- Master’s degree would be preferred.
Professional Certifications:
- Certifications in Data Analytics, BI tools, or Programming (e.g., Power BI, Python, SAS) are advantageous.
Minimum Experience:
5-6 years of experience in MIS, reporting, or analytics (preferably in Retail Banking).