Financial Data Analyst

at  Inlogik

At Inlogik, we’re proud to be a global leader in Corporate Credit Card and Expense Management solutions, empowering businesses across 30+ countries. Our innovative products drive efficiency and transparency, making a real difference in how organisations manage their finances.
We have a newly created role for a Financial Data Analyst to support the company’s strategic decision-making through advanced data analytics and business intelligence.
This is a hybrid role with 3 days per week in the office.

• Analysis of financial performance, market conditions, and operational metrics, delivering insights to inform pricing strategies, profitability, forecasting, and investment decisions.
• Develop business and financial models, creating dynamic visualizations, and building business cases to support key strategic initiatives.
• Analyse company financial metrics, profitability, and pricing strategies to uncover trends and identify opportunities.
• Conduct in-depth cost analysis and provide recommendations to optimise business operations.
• Research and analyse market trends, customer behaviors, and competitive landscapes.
• Deliver detailed market reports and insights to support business development and strategy formulation.
• Develop accurate sales and company forecasting models based on historical data and market insights.
• Provide scenario analysis to support long-term strategic planning.
• Assist in financial due diligence and assessment of potential M&A opportunities. Build financial models to evaluate the valuation and strategic fit of acquisition targets.
• Design and maintain dashboards, reports, and visualizations to communicate insights effectively. Present financial, operational, and market data in a clear and compelling manner to leadership.
• Create professional presentations for internal and external stakeholders, including executives and partners.
• Work with cross-functional teams to provide actionable insights that support operational and strategic goals.
• Engage with senior leadership to identify key analytics priorities aligned with business strategy.