SENIOR DATA ANALYST

*This position is a hybrid position that requires a minimum of three working days per week in the UK. Please do not apply if you cannot meet this requirement.

Role Overview

We are seeking a capable Data Analyst to support the Commercial, Sustainability and Finance teams by transforming data into reliable insight. This role will build and automate key reports, establish consistent data definitions, and produce actionable analytics that drive improvements in performance, forecasting and decision-making. The position is well-suited to a commercially minded analyst with strong analytical skills and a desire to grow into broader responsibilities over time.

Key Responsibilities

1. Reporting & Automation

• Deliver accurate and timely automated reporting for Commercial, Sustainability and Finance teams.
• Develop and maintain dashboards covering key metrics such as revenue, margin, costs and performance trends.
• Reduce reliance on manual spreadsheets by strengthening data pipelines.

2. Data Quality & Definitions

• Support the standardisation of data definitions and KPI calculations across functions.
• Assist with reconciling data discrepancies and improving data accuracy. • Document reporting processes and logic.
• Evaluate applicable third-party sustainability systems (traceability) with an eye toward tool optimisation for Falcon’s needs.

3. Business Analysis

• Work with Sales, Sustainability and Finance to understand data needs and translate them into reports or models.
• Provide analysis on margin trends, pricing performance, and forecast variance.
• Support forecasting and budgeting cycles with reliable datasets and insights.

4. Collaboration

• Partner with teams to understand reporting requirements.
• Provide clear written and verbal explanations of insights to non-technical stakeholders.
• Contribute to continuous improvement of data processes.

Skills & Experience

Essential

• 2–4 years’ experience in data analysis, business intelligence or commercial analytics.
• Strong Excel skills with advanced formula knowledge.
• Proficient in SQL for querying relational databases.
• Experience using BI tools such as Power BI, Tableau, Qlik or similar.
• Ability to translate business questions into analytical outputs.
• Strong attention to detail and ability to manage data accuracy.

Desirable

• Experience with Python (for data manipulation and automation) and/or R.
• Prior exposure to ERP or CRM systems (e.g. NetSuite, Salesforce).
• Experience of financial reporting processes.
• Basic understanding of data modelling concepts.

Personal Attributes

• Analytical thinker with curiosity and problem-solving orientation.
• Clear communicator, able to present insights to non-technical stakeholders.
• Organised and disciplined in documentation and version control.
• Comfortable in a fast-paced environment with evolving priorities.