About the opportunity
Job Overview
As the Lead for BIU (Analytics & amp; MIS) , you will be the data backbone for the Retail Asset Secured department. You will manage a multi-vertical team to deliver actionable insights across diverse products (Home Loans, LAP, Auto, Education Loans, LAS/LAMF) and multiple sourcing channels. Your mission is to bridge the gap between raw data and strategic decision-making for senior leadership Strategic Reporting & Governance:
o Design and publish high-impact dashboards for the MD, CBO, and Business Head (BH), and National Sales Heads (NSH), Zonal Sales Heads, RSMs, Branch Channel teams, etc.
o Oversee the end-to-end delivery of Daily Performance MIS covering the entire lifecycle: Leads → Funnel → Logins → Sanctions → Disbursements.
o Maintain specialized trackers for Part-Disbursements and pending document closures.
Multi-Vertical & Channel Analytics:
o Analyze performance across distinct verticals: HL-DSA, LAP-DSA, AL-DSA, and Branch Asset Channels.
o Evaluate channel-specific productivity for DSAs, Builders (APF), Auto
Dealers, OEMs, and Fintech partners.
o Identify trends in sourcing quality, TAT (Turnaround Time), and conversion ratios.
P&L amp Monitoring:
o Partner with Planning & Finance teams to reconcile monthly P&L statements.
o Deep dive into product-level profitability, yield analysis, and cost-of- acquisition across different verticals.
Cross-Sell & Growth Initiatives:
o Design and track Cross-Sell programs to maximize portfolio value.
o Utilize data to identify untapped opportunities within the existing customer base.
Team Leadership:
o Lead and mentor a team of 8–12 members (a mix of On-Roll and Off-Roll staff), with a focus on scalability as business volumes grow
Collaboration
o Collaborate effectively with various stakeholders in the bank for delivering the desired output. Looking for candidates with 8yrs of experience in Analytics/MIS within a Bank or NBFC, specifically for Retail Secured Asset products. And hands-on experience in developing and implementing meaningful, actionable dashboards, management presentations, strategic insight reports for senior management, internal stakeholders, as well as coverage teams
o Education: MBA/PGDM from a premier institute (preferably with specialization in Finance/Data Science related subjects)
o Technical Skills:
Expertise in SQL, SAS, or Python for data extraction
Hands on with Visualization tools (Tableau, Power BI, or QlikView, etc.)
Advanced Excel/VBA skills for automated reporting.
Digital/Tech savvy, basic understanding of and curiosity for various recent AI tools/developments