Senior Data Analyst

Key Responsibilities

1. Data Analysis & RCA: Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.

1. SQL & Data Extraction:  Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.

1. Reporting & Visualization: Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.

1. Data Quality & Management: Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.

1. Stakeholder Communication: Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.

Skills, Knowledge & Expertise

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
• Minimum 3–5 years of experience in data analytics in data analytics or business intelligence.
• Strong SQL skills for analysis and reporting.
• Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
• Excellent problem-solving skills and a structured, analytical mindset.
• Experience in fintech, lending, collections, risk, or consumer finance is a plus.