This role is for a Data Analyst responsible for transforming data into meaningful insights that support business decision-making and performance improvement. In this position, you will collect, analyze, and interpret data from multiple sources to identify trends, patterns, and opportunities that help guide strategic and operational initiatives.

Key responsibilities include gathering data from databases, spreadsheets, and internal systems, then cleaning, validating, and organizing the data to ensure accuracy and consistency. You will analyze key metrics, monitor performance indicators, and conduct comparative, trend, or variance analyses to support business objectives.

You will also design and maintain reports, dashboards, and data visualizations that communicate insights clearly to stakeholders. Collaborating with cross-functional teams, you will help translate business questions into analytical approaches and present findings in a structured and actionable manner.

The role requires strong analytical thinking, attention to detail, and problem-solving skills. You will be expected to manage datasets responsibly, ensure data integrity, and document methodologies and assumptions. Clear communication is essential, as insights must be understandable to both technical and non-technical audiences.

The Data Analyst plays a key role in enabling data-driven decision-making by delivering accurate analysis, reliable reporting, and actionable insights that improve organizational performance.

• Strong analytical and problem-solving skills
• Ability to collect, clean, and analyze large datasets
• Proficiency with spreadsheets, data analysis, or reporting tools
• Experience creating dashboards, reports, and data visualizations
• Solid understanding of data metrics and performance indicators
• Strong attention to detail and data accuracy
• Clear written and verbal communication skills
• Ability to manage multiple analytical tasks and deadlines
• Collaborative mindset with the ability to work across teams
• Educational background in Data Analytics, Statistics, Economics, Business, or a related field is preferred