Data Analyst

Job Responsibilities

• Collect, clean, organise, and analyse data from various sources.
• Identify trends, patterns, inconsistencies, and insights to support business decision-making.
• Prepare reports, dashboards, and data summaries for management review.
• Use AI tools, particularly Claude, to support data analysis, research, problem-solving, report writing, and workflow improvement.
• Validate data accuracy and ensure the reliability of analytical outputs.
• Translate complex data into clear, actionable business insights.
• Identify opportunities to improve processes through data-driven recommendations.
• Collaborate with team members to understand business needs and develop appropriate analytical solutions.
• Continuously explore new tools and techniques to improve analytical efficiency and productivity.

Key Requirements

• A degree or HND in Statistics, Mathematics, Computer Science, Economics, Engineering, Data Science, or another relevant discipline.
• At least one year of relevant experience in data analysis or a related role.
• Strong analytical, logical reasoning, and problem-solving abilities.
• Ability to understand complex information quickly and draw meaningful conclusions.
• Practical familiarity with AI tools, especially Claude, for everyday work and problem-solving.
• Proficiency in Microsoft Excel or Google Sheets; knowledge of SQL, Power BI, or other data analysis tools is an advantage.
• Strong attention to detail and commitment to data accuracy.
• Good communication skills and the ability to explain findings clearly.
• A proactive attitude, intellectual curiosity, and willingness to learn new technologies.

Ideal Candidate Profile

The ideal candidate is exceptionally sharp, curious, and resourceful, with the ability to learn quickly, think independently, and solve unfamiliar problems. They should be comfortable using AI intelligently to improve the quality and speed of their work while applying sound judgement to validate results.