Data Analyst / Financial Analyst

Role Overview

This position focuses on turning raw information into practical insights that guide business strategy, financial planning, and day-to-day operational choices. It blends data analysis with financial interpretation to help the organization track performance, uncover opportunities, and improve efficiency.

What You Will Do

You will gather, verify, and prepare data from different sources so it remains accurate and dependable. Working with large datasets, you will look for patterns, anomalies, trends, and relationships that influence business and financial outcomes.

You will also create and maintain dashboards, reports, and financial models that monitor KPIs, revenue, expenses, profitability, and operational measures. The role supports budgeting, forecasting, and variance analysis so stakeholders can assess financial health and make informed decisions.

In addition, you will carry out scenario analysis, predictive modeling, and performance reviews to assess possible outcomes and support long-term planning. Your findings will be translated into clear reports, visuals, and recommendations that can be understood by both technical and non-technical audiences.

You will work closely with finance, business, and operations teams to understand reporting needs and deliver useful insights. Part of the role also includes improving data workflows, strengthening reporting systems, and helping maintain high data quality across the organization.

What Success Looks Like

This role is important in supporting data-led decisions, increasing financial visibility, and contributing to business growth through accurate analysis and strategic insight.

Qualifications

• Good analytical and numerical reasoning abilities.
• Hands-on ability to gather, clean, and interpret large volumes of data.
• Sound knowledge of financial processes such as budgeting, forecasting, and variance review.
• Comfort with Excel, spreadsheets, and data analysis software.
• Exposure to dashboards, reporting tools, or business intelligence platforms.
• Ability to develop financial models and performance reports.
• Careful attention to detail and strong accuracy in handling data.
• Capability to spot trends, patterns, and meaningful insights in complex datasets.
• Strong written and spoken communication skills.
• Ability to explain findings clearly to different stakeholder groups.
• Well-developed organization and time-management skills.
• Ability to handle several tasks and deadlines at the same time.
• Team-oriented approach and willingness to collaborate across departments.
• Flexibility and openness to learning new analytical tools and methods.
• Commercial awareness with a focus on insights that can be acted on.