Data Analyst ( Marketing Analyst)

About the Role

We are looking for a Marketing Analyst to join our marketing & lead analytics team at Fintech Cloud.

The role involves validating and analyzing marketing leads, tracking lead-to-disbursal funnels, and reviewing CIBIL/credit bureau reports to assess lead quality across our multi-brand lending portfolio. You will work closely with the Marketing, Credit, and Data Engineering teams to improve lead quality and conversion.

Mandatory Requirements

• 2-3 years of minimum hands-on experience as a Marketing Analyst / Data Analyst.
• Prior experience working in a fintech, NBFC, or lending environment is a must.
• Strong proficiency in SQL complex joins, window functions, query optimization on large datasets.
• Strong proficiency in Python Pandas, NumPy, and standard data manipulation/reporting workflows.
• Advanced Excel pivot tables, VLOOKUP/INDEX-MATCH, array formulas.

Lead Analytics & Domain Skills

• Hands-on experience reading and interpreting CIBIL / credit bureau reports to assess lead/applicant quality.
• Strong experience with validation of leads identifying duplicate, fraudulent, or low-quality leads before they enter the funnel.
• Understanding of the lead-to-disbursal funnel — source-wise, brand-wise, and stage-wise conversion tracking.
• Ability to build source-wise performance reports comparing marketing spend against lead quality and conversion.
• Familiarity with Metabase or similar BI tools for lead funnel dashboards is a plus.
• Working knowledge of GCP/BigQuery for querying large-scale lead and application data is a plus.
• Strong attention to detail and ability to spot anomalies/patterns across large volumes of lead data.

Key Responsibilities

• Validate incoming leads daily — check CIBIL reports, flag duplicates/fraud, and route quality leads to the sales/credit funnel.
• Track lead-to-disbursal conversion across brands, sources, and campaigns.
• Build and maintain lead funnel and source-performance dashboards in Excel/Metabase.
• Write SQL queries to pull, clean, and analyze lead and application data at scale.
• Share regular insights with the Marketing team on lead quality trends and campaign ROI.

• Coordinate with Credit/Risk teams on rejection reasons and feedback loops to improve lead sourcing.

Good to Have

• Exposure to Power BI or similar visualization tools.
• Understanding of RBI NPA/DPD bucketing norms and basic credit risk concepts.
• Prior experience in a startup or fast-paced lending/NBFC environment.