Data Analyst

Role overview

The Data Analyst turns raw information into practical insights that help guide business choices and improve day-to-day operations. The position centers on gathering data, examining it, preparing reports, and building visual summaries to spot patterns, track results, and highlight opportunities for better performance. You will work with teams across the business to make sure data-led actions support wider company goals.

Key responsibilities

• Gather, organize, and interpret information from both internal systems and outside sources.
• Check, refine, and format datasets so they remain accurate and consistent.
• Create reports, dashboards, and charts that make findings easy to understand.
• Study trends, patterns, and key performance indicators to support decisions.
• Partner with business teams to understand their analysis needs and goals.
• Handle one-off analysis requests and explain results to stakeholders.
• Help define data standards, measurement practices, and documentation methods.
• Spot data quality problems and suggest corrective steps.
• Support automation and process improvements in analysis and reporting work.
• Keep up to date with tools, methods, and best practices in analytics.

Qualifications and requirements

The ideal candidate should hold a bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a similar discipline. A solid grasp of analytical methods, statistical ideas, and data structures is important, along with hands-on experience using datasets, databases, and reporting tools. Strong spreadsheet ability and familiarity with data visualization platforms are expected, while knowledge of query languages or analytical scripting will be considered an advantage. You should also bring sharp analytical judgment, problem-solving ability, attention to detail, and a strong commitment to accuracy. The role calls for someone who can explain complex information clearly, work well with others, manage several priorities, and meet deadlines. Experience from a professional setting, academic work, or internships is beneficial.

Summary

This role is key to supporting data-driven decision-making by producing accurate analysis and actionable recommendations. It offers the chance to work with varied datasets, collaborate across departments, and contribute to both strategic and operational improvements.