Finance BI Analyst

Finance BI Analyst

Manchester

Hybrid working 3 days a week in the office / 2 days remote

Position Summary

Our client is a multinational professional services business based in central Manchester looking to hire a Business Intelligence Analyst with a strong focus on financial analytics to support our data-driven transformation. Reporting to the Analytics Manager, you will design and deliver insightful reporting and analysis that supports financial planning, forecasting, and commercial decision-making across the business. This role would be perfect for somebody coming from an ecommerce, banking / finance or fast paced consumer goods background.

What We Offer:

• Basic salary of up to £50k plus benefits
• The opportunity to work in a growing, data-driven environment where your insights directly influence business performance.
• Exposure to advanced analytics tools and projects.
• Professional development opportunities within the Analytics & Insights function.

Key Responsibilities:

• Develop and maintain Power BI dashboards and reports focused on financial performance, revenue forecasting, and profitability tracking.
• Partner with the Finance and Commercial teams to understand reporting requirements and deliver actionable insights.
• Conduct detailed analysis of financial and operational data to identify trends, risks, and opportunities.
• Support the development of forecasting and budgeting models in collaboration with the Analytics Manager.
• Ensure data accuracy, consistency, and integrity across financial reporting.
• Automate recurring financial reports and streamline data workflows.
• Translate financial data into meaningful narratives for stakeholders across all levels of the business.
• Work with Finance leadership to prepare reports and board packs

Required Skills & Experience:

• Proven experience as a BI Analyst, Data Analyst, or similar role.
• Strong proficiency in Power BI, including DAX, data modelling, and dashboard design.
• Solid understanding of financial metrics, KPIs, and reporting concepts (e.g., revenue, margin, cost analysis, forecasting).
• Experience working with financial and operational datasets from multiple systems.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Expertise in Excel and SQL
• Python for data analysis is advantageous.
• Excellent communication skills, with the ability to explain complex data in simple, actionable terms.

Desirable Skills:

• Experience in professional services or commercial sales environment.
• Knowledge of data governance and best practices in financial reporting.
• Exposure to forecasting models or scenario analysis tools.