Business Analyst/Lead Business Analyst

Indusind Bank; Gurugram District, Mumbai; On-site; INR 800,000 - 1,300,000; Full time

Job summary

IndusInd Bank seeks a mid-level Business Analytics professional to analyze data and derive insights to enhance growth strategies across secured (HL/LAP/AGRI/Gold) and unsecured portfolios. You will collaborate with multiple internal teams and support both regular and ad-hoc data needs and insights.

Role involves collecting, cleaning, and analyzing large datasets, building models with Python/SAS, and creating dashboards and MIS to track retail portfolio performance across segments.

Qualifications

• Experience in mid-level Business Analytics role.
• Ability to analyze data to improve business strategies.
• Strong collaboration with internal teams and data requirement support.

Responsibilities

• Drive business growth through data and insights for Secured and Unsecured assets.
• Collect, organize, and analyze large datasets to extract insights and identify trends.
• Leverage analytics to optimize activations, acquisition strategy, credit lines, spends, promotions, pricing, channel mix, risk, cross-sell, and portfolio profitability.
• End-to-end analytics: data collection, preparation, modeling with Python/SAS, and generating insights.
• Prepare dashboards and MIS to track retail portfolio across segments.
• Identify data anomalies and data quality issues; propose cleansing solutions.
• Create dashboards, charts, and reports to communicate findings to stakeholders.
• Maintain knowledge of Databricks/Python/SAS/SQL.
• Utilize Microsoft Excel/Access/PowerPoint/Word for analyses and presentations.

Skills

Python

SAS

SQL

Excel

Databricks

Tools

Access

PowerPoint

Word

Job description

Role Details

This is a mid-level position in Business Analytics that involves analyzing and interpreting data to improve business strategies. The role requires close collaboration with multiple internal teams and support across regular and ad hoc data requirements and insights.

Overall Job Description

• Drive business growth through the use of data and insights for Secured (HL / LAP / AGRI / Gold Loan) and Unsecured Assets (Credit Cards, PL, BL).
• Collect, organize, and analyze large datasets to extract meaningful insights and identify trends or patterns.
• Leverage analytics to drive insights for optimizing Activations, Acquisition strategy, credit lines, spends, promotions, pricing, channel mix, risk, cross-sell, and bases for secured and unsecured portfolio / products; provide data-driven solutions to improve portfolio quality and profitability.
• Ability to understand complex business problems with end-to-end, hands-on exposure to analytics including collecting, pulling, and preparing data, building statistical / ML models using Python / SAS and other tools, and generating insights.
• Prepare management dashboards and MIS to ensure appropriate, in-depth tracking of the retail portfolio across multiple segments.
• Identify data anomalies, outliers, and data quality issues, and propose solutions for data cleansing and enhancement.
• Create visually appealing and insightful dashboards, charts, and reports to communicate findings to stakeholders.
• Good working knowledge of Databricks / Python / SAS / SQL.
• Hands-on knowledge of Microsoft products including Excel, Access, PowerPoint, and Word.Banking / NBFC / Fintech domain knowledge preferred.

Desired Behavioral / Functional Traits

• Excellent interpersonal skills
• Good communication skills
• Self-motivated and proactive
• Strong analytical and product skillset
• Results-oriented, committed, and with a strong sense of discipline