Data Analyst

Description

Key Responsibilities

• 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.

Skills, Knowledge & Expertise

• 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.

About Tabby