Job Summary

My client, a global tech business, is seeking a detail-driven and analytically-minded FP&A Data Analyst to join their finance team at HQ in London Bridge with hybrid working (3 days in the office, 2 from home).

The ideal candidate will be responsible for gathering, analysing, and interpreting extensive datasets to support financial planning and analysis. This role requires excellent data management capabilities, a talent for deriving insights from complex financial models, and a meticulous attention to detail. The FP&A Data Analyst will play an essential role in fostering data-informed decision-making and advancing strategic initiatives across the organisation.

Key Responsibilities

Data Collection & Integration:

• Gather, clean, and merge financial and operational data from diverse sources, including ERP systems, databases, and spreadsheets.
• Develop and maintain automated data pipelines, ensuring accurate and timely data is available for analysis.
• Collaborate with cross-functional teams (such as accounting, operations, and sales) to ensure consistency in financial data.

Financial Modeling & Reporting:

• Build and maintain intricate financial models to forecast key metrics like revenue, expenses, cash flow, and KPIs.
• Create and update dashboards and visualisations to monitor financial performance and key business indicators using tools like Excel, Power BI, or similar.
• Perform detailed variance analysis and provide commentary on financial performance, identifying trends, outliers, and opportunities for improvement.

Business Analysis & Insights:

• Apply statistical and analytical methods to interpret financial data and provide actionable insights to stakeholders.
• Partner with business leaders to understand their analytical needs and deliver data-driven recommendations to inform strategic decisions.
• Produce ad-hoc analyses and scenario modeling to support business initiatives, investment assessments, and financial forecasting.

Process Improvement:

• Identify opportunities to optimise data collection, analysis, and reporting processes.
• Utilise automation tools and technology to enhance FP&A operational efficiency and minimise manual tasks.

Collaboration:

• Support the finance team during the month-end close process, ensuring reporting is accurate and timely.
• Work alongside departments (sales, marketing, operations, etc.) to ensure financial projections and analyses are accurate.

Qualifications

Education:

• Bachelor's degree in Finance, Accounting, Data Science, Economics, or a related discipline.
• A Master's degree or professional certification (such as ACCA, CIMA) is a plus.

Experience:

• A minimum of 3 years of experience in FP&A, financial analysis, or data analytics, ideally within a corporate finance setting.
• Strong experience managing large datasets, including data manipulation, transformation, and reporting.

Technical Skills:

• Advanced proficiency in Microsoft Excel (including pivot tables, VLOOKUP, macros, and complex formulas).
• Experience with financial modelling and forecasting methodologies.
• Expertise in data visualisation tools (e.g., Power BI) to create impactful financial dashboards.
• Familiarity with programming or data analysis languages like SQL, Python, or R is beneficial.
• Experience with ERP systems (e.g., Netsuite, Quickbooks) is advantageous.

Soft Skills:

• Exceptional attention to detail and accuracy.
• Strong communication skills, with the ability to translate complex data into clear insights for non-technical stakeholders.
• Ability to work under pressure, prioritise effectively, and meet deadlines in a fast-paced environment.
• Proactive problem-solving mindset with a focus on driving improvements and operational efficiency.

Key Competencies:

• Analytical Thinking: Ability to deconstruct complex financial problems and deliver data-driven solutions.
• Business Acumen: Understanding of financial principles and their application in supporting business decisions.
• Collaboration: Ability to work seamlessly with cross-functional teams to achieve shared objectives.
• Adaptability: Comfort with shifting priorities and a fast-changing environment.
• Time Management: Skilled at balancing multiple tasks and meeting deadlines while managing ad-hoc requests.