Business Intelligence Analyst

The person will be responsible for developing and implementing a comprehensive BI strategy, managing a team of analysts, and working with stakeholders across the company to ensure that BI insights are integrated into decision-making processes The Key responsibilities include managing the entire data stream of company along with group data mart team and use these large data sets to generate credible insights and build segmentation and scorecards for all process and decision steps. The incumbent will be responsible for managing entire campaign strategy and delivering all digital and pre-approved cross-sell product offers. Additional responsibility also includes identifying new data sources to enrich data profiles of customer and work with senior executive to identify key performance indicators (KPIs) and develop and publish dashboards and reports to track progress against these KPIs.

Role Expectations:

• Data Collection and Analysis: Will be responsible for collecting data from various sources, cleaning, transforming, and analysing the data to identify trends and patterns that can assist strategic decision-making.
• Reporting: Responsible for preparing reports that summarize the insights you have derived from the data. These reports will typically include data visualizations such as charts, graphs, and tables to help communicate complex information to non-technical stakeholders.
• Forecasting and Modelling: He will be responsible for developing financial and statistical models using data analytics and machine learning for generating digital campaigns, pre- approved offers, retention segments, risk segments and UW process segments.
• Collaboration with Stakeholders: Collaborate with various stakeholders across the company, including senior executives, product teams, process re-engineering teams, Risk and
• Underwriting teams to understand data variable generation, use and need of the respective stakeholder and support them in building required business intelligence.
• Data Governance and Quality: Ensure that data is accurate, complete, and consistent across all sources, and that all data management practices comply with regulatory requirements.
• Technology and Tools: Proficient in using various BI tools and understand the live data stream technology used to integrate with LMS and LOS and subsequent extraction and consumption process.

Qualifications

• Post Graduate
• 3-6 Year of work experience with atleast 2+ years in Lending environment
• Experience of working on data streams of atleast 2-3 Retail asset lending product
• Strong exposure of working on customer segmentation and Scorecard development
• Experience of working on Process Re-Engineering and Customer Journey Projects
• Proficient in Advanced Excel, SQL, R, Python, Spark, Tableau, Power BI and with atleast 1 year of experience on working with machine learning models