Senior Manager-MIS, BI

2 weeks ago

Gurgaon, Haryana, India Clix Capital Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Department

MIS, BI & Automation

Job posted on

Sep 09, 2025

Employee Type

Full Time

Experience range (Years)

6 years - 10 years

About the Role:

We are seeking a highly skilled and detail-oriented Senior Data Analyst with strong automation capabilities to join our data-driven team. The ideal candidate will have deep expertise in Python and SQL, a proven track record of automating data workflows, and hands-on experience in the BFSI and NBFC sectors.

Job Description:

Position title: Sr. Manager (Data Analyst- Automation)

Role and Responsibilities:

  • Design, develop, and maintain automated data pipelines using Python and SQL
  • Responsible for building and maintaining data pipelines, ensuring data integrity, and supporting data storage solutions.
  • Focus on advanced analytics, machine learning models, and predictive algorithms.
  • Translate business requirements into technical solutions with clear documentation
  • Building right data visibility for various business functions through Python using SQL & ETL.
  • Identify, analyze, and interpret trends in complex data sets.
  • Build comprehensive sql reports for financial, Operation, product and business team for data report solving and deliver insights for decision making through MIS reports, Power BI.
  • Responsible for delivering data-driven recommendations and coordinating with different vertical and stakeholders.
  • Support regulatory and compliance reporting specific to BFSI/NBFC standards
  • Responsible for RCA/Problem management and ensuring minimum repeat issues.
  • Must be aware about financial & banking functional keywords like DPD, NEA, NEA runoff, ECL sql reports.

General Qualifications:

  • Degree educated in Information Technology/ Computer Science (B.Tech/MCA)
  • SQL Developer with Python with min 5 to 6 years in NBFC and financial domain having skills with strong SQL writing, ETL and Athena services.
  • Proficiency in Python (Pandas, NumPy, etc.) and advanced SQL
  • Exposure to AI Digital agent will be an advantage.

Apply if you have deep expertise in Python and SQL, a proven track record of automating data workflows, and hands-on experience in the BFSI and NBFC sectors.

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