Sales MIS Analyst

Role:

We are seeking a detail-oriented and analytical professional to join our sales team for a MIS role. The role is responsible for managing credit-related data, preparing reports, ensuring data accuracy, and providing actionable insights that support decision-making.

Responsibility:

• Prepare, maintain, and analyze Sales MIS reports on a daily, weekly, and monthly basis.
• Track credit portfolio performance, including disbursements, collections, delinquencies, and other KPIs.
• Generate trend analysis and variance reports to highlight areas of concern and improvement.
• Ensure timely submission of MIS reports to management through automated workflows
• Work closely with the Sales, Operations, Business and Risk teams to streamline MIS processes.
• Manage large data sets using Excel / Python / SQL and reporting tools, ensuring accuracy and consistency.
• Support internal audits and compliance requirements by providing relevant data and reconciliations.
• Identify opportunities to automate reporting and improve efficiency in MIS preparation.
• Ability to identify trends, outliers and highlight key observations and insights as needed
• Good knowledge of LOS/LMS, data lake and data mart, login to disbursement workflows, and understanding of LAP loans
• Monthly call with sales team to provide the update on the progress

Desired Skills:

• Strong knowledge of sales processes, NBFC operations
• Proficiency in MS Excel (advanced formulas, Pivot tables, LOOKUP Functions, Power Query, etc.); experience with Python / SQL / BI tools preferred.
• Strong attention to detail, problem-solving ability, and ability to work with large data sets
• Ability to meet timelines and work collaboratively with cross-functional teams.

Work Experience:

• 2 to 5 years of relevant experience in MIS within an NBFC.
• Prior experience in

  Sales

  MIS role within an NBFC

  is mandatory.
• Prior experience in a similar role (NBFC or Financial Services firm) preferable

Educational Qualification(s):

• Masters/ Graduate in Commerce, Finance, Statistics, or any relevant stream.