Data Analyst

Role overview

The Data Analyst role is centered on turning raw information into clear insights that help guide business choices and improve operational performance. The position involves gathering, examining, reporting on, and visualizing data to spot patterns, track results, and highlight areas where the organization can improve. This role partners with teams across the business to make sure analytical work supports wider company objectives.

Key responsibilities

• Gather, prepare, and study data from a mix of internal and external sources.
• Check, clean, and organize datasets so they remain accurate and consistent.
• Create reports, dashboards, and visual presentations that communicate findings clearly.
• Review trends, patterns, and key performance indicators to help shape decisions.
• Work with business stakeholders to understand their analysis needs and goals.
• Handle ad hoc analysis requests and share conclusions with relevant teams.
• Help define data standards, metrics, and documentation methods.
• Spot data quality problems and suggest practical fixes.
• Support improvements and automation in analysis and reporting workflows.
• Keep up to date with analytical tools, methods, and industry best practices.

Qualifications and requirements

• A bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a similar discipline is required.
• Solid grasp of data analysis methods, statistical ideas, and data structures.
• Hands-on experience with datasets, databases, and reporting tools.
• Comfort using spreadsheets and data visualization tools; knowledge of query languages or analytical scripting is an added advantage.
• Strong problem-solving ability and analytical judgment.
• Excellent attention to detail and a strong focus on data accuracy.
• Ability to convert complex data into practical, easy-to-understand insights.
• Good communication and teamwork skills.
• Capability to manage several assignments at once and meet deadlines.
• Experience from a job, academic work, or internship is beneficial.

Summary

This position is important for supporting data-led decision-making by providing reliable analysis and actionable insights. It offers the chance to work with varied datasets, collaborate with multiple teams, and contribute directly to both strategic and operational improvements.