Financial Data Insights Specialist

3 days ago

Jaipur, Rajasthan, India beBeeDataAnalyst Full time ₹ 1,20,00,000 - ₹ 2,40,00,000

Job Title: Data Analyst

">

We are seeking a skilled and experienced data analyst to join our team. In this role, you will analyze financial, customer, and transaction datasets, generate insights to support credit decisioning models, and deliver data-driven solutions across loan origination, loan management, and credit scoring systems.

">Key Responsibilities:">
  • ">
  • Collect, clean, and analyze structured and unstructured data from banking, fintech, telco usage, and credit bureau.">
  • Collaborate with ML engineers to define features, validate models, and benchmark credit decisioning outputs.">
  • Develop dashboards and reports on loan performance, portfolio risk, customer segmentation, and key KPIs.">
  • Conduct exploratory data analysis (EDA) to identify gaps, biases, and enrichment opportunities in training datasets.">
  • Support regulatory compliance reporting by preparing summaries, documentation, and explainability insights.">
  • Contribute to data quality frameworks, governance standards, and lineage tracking.">
">Required Skills & Qualifications:">
  • ">
  • 4+ years of experience in data analysis, preferably in credit/financial analytics.">
  • Proficiency in Spark-SQL, SQL, Excel, and BI/visualization tools like Power BI, Tableau, or Superset.">
  • Strong analytical mindset with the ability to interpret financial/credit datasets.">
  • Hands-on experience with Python or R for data wrangling, EDA, and statistical analysis.">
  • Familiarity with Microsoft Azure data stack including Data Factory, Synapse, Databricks.">
  • Solid understanding of credit risk KPIs, NPA ratios, loan portfolio analysis, and financial modeling.">
">Preferred Qualifications:">
  • ">
  • Experience in banking, fintech, or telco credit operations.">
  • Exposure to predictive modeling, customer segmentation, or fraud analytics.">
  • Knowledge of compliance frameworks such as Basel, IFRS9, PDPA, GDPR.">
  • Bachelor's/Master's in Statistics, Economics, Finance, Data Science, or related fields.">
"]},

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