Perform deep analysis on business datasets to identify trends, patterns, and anomalies.
Translate raw data into clear, actionable insights for stakeholders.
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.
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.
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.
Present findings in a clear and concise manner to both technical and non-technical audiences.
Support senior management with data-driven decision-making.

Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
2-4 years of experience 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).
Familiarity with Python or R for data manipulation/analysis (preferred).
Excellent problem-solving skills and a structured, analytical mindset.
Strong communication skills for explaining technical results to non-technical stakeholders.

Collection Analyst

Key skills