Utilise advanced Excel tools including Power Query, Power Pivot and VBA
Programming skills such as Python to automate workflows and deepen analysis
Including AI driven automation and intelligent workflows to enhance efficiency
We're looking for a commercially minded and technically strong Financial Data Analyst to join a growing Finance and Operations team.
This is a business facing role where you'll act as the trusted data partner to Finance, helping transform complex information into meaningful insights that drive decision-making across the organisation. You'll have the opportunity to influence strategy, improve performance, and develop scalable reporting solutions that support senior leadership.
Working across financial, operational and people data, you'll play a key role in creating a reliable, data-driven environment that enhances forecasting, planning and business performance.

Key Responsibilities
Analytics & Insights
Analyse financial and operational performance to identify trends, risks and opportunities
Define, track and continuously improve KPIs and financial metrics
Translate business needs into meaningful analytics and reporting solutions
Present insights through clear data storytelling and impactful visualisations
Support forecasting, budgeting and scenario modelling with robust analysis

Reporting & Business Intelligence
Design, develop and maintain engaging Power BI dashboards and reports
Create scalable reporting solutions that support business decisions
Build and optimise data models to improve reporting accuracy and performance
Automate reporting processes and improve data accessibility

Data Management & Process Improvement
Consolidate data from multiple systems and ERP platforms, including API integrations
Develop a single source of truth for consistent and scalable reporting
Improve data governance, quality, security and reporting standards
Streamline processes through automation and optimisation

Technology & Innovation
Utilise advanced Excel tools including Power Query, Power Pivot and VBA
Apply programming skills such as Python to automate workflows and deepen analysis
Explore emerging technologies, including AI-driven automation and intelligent workflows, to enhance efficiency and business insight

About You
Essential Requirements
Degree (minimum 2:1 or equivalent) in a quantitative discipline such as Mathematics, Statistics, Finance, Data Science, Computer Science or a related field
2-3 years' experience in data analytics within a finance, commercial or FP&A environment
Strong Power BI experience, including dashboard and report development
Understanding of financial analysis, KPIs and performance measurement
Experience with data cleansing, validation and quality assurance
Knowledge of data governance, security and privacy best practices
Excellent communication and stakeholder management skills
Strong data storytelling capabilities, able to communicate with both finance and non-finance audiences
Experience documenting data sources, methodologies and reporting processes
Excellent organisational and prioritisation skills

Desirable Experience
Python or similar programming language for advanced analytics and automation
SQL for data extraction and transformation
Advanced Excel capabilities including Power Query and Power Pivot
FP&A experience covering budgeting, forecasting and scenario modelling
Experience building scalable data models and analytical frameworks
Report automation and dashboard optimisation experience
Professional services or consulting background

What We Offer

Alongside a collaborative and high-performing culture, we offer

Competitive salary of £40,000-£45,000 per annum
Discretionary profit share bonus paid twice annually
25 days annual leave plus bank holidays
Holiday buy and sell scheme
Hybrid and flexible working arrangements
Private Medical Insurance
Critical Illness Cover
Income Protection and Life Assurance
Funded professional qualifications and external training
Flexible benefits package
Opportunities for career progression within a growing international business
Sabbatical opportunities based on length of service

Working Arrangement
Following successful completion of probation, employees can work from home for up to 50% of their working time, measured across a two week period. During probation, homeworking is typically available one day per week.