Senior Data Analyst
Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
- Data Analysis & RCA: Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
- 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.
- 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.
- 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.
- 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.
- 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.
