Role
- The Data Analyst will have analytical Expertise: Strong experience in data analysis, financial modelling, and commercial reporting.
- Technical Proficiency: Advanced Excel and SQL skills; experience with BI tools (Tableau, Power BI, Looker) preferred.
- Stakeholder Management: Ability to collaborate with teams across finance, sales, marketing, and operations.
- Commercial Mindset: Strong understanding of revenue drivers, pricing strategies, and business performance metrics.
- Problem-Solving Skills: Ability to translate data into strategic recommendations.
- Industry Experience: Experience in SaaS, fintech, E-commerce, or a fast-paced commercial environment is a plus.
Key Responsibilities:
- The Data Analyst will have strong data Analysis & Insights: Extract, analyse, and interpret large datasets to identify trends, opportunities, and risks.
- Revenue Performance Tracking: Develop and maintain dashboards and reports to monitor revenue performance, sales effectiveness, and business KPIs.
- Business Partnering: Collaborate with Data and Rev Ops teams to enhance data-driven decision-making and optimise business processes.
- Forecasting & Modelling: Support revenue forecasting, scenario planning, and pricing strategy with robust financial models.
- Process Improvement: Work with cross-functional teams to streamline reporting, improve data accuracy, and enhance automation.
- Strategic Recommendations: Translate complex data into actionable insights to support business growth and efficiency.
Company
- Rapidly growing SaaS organisation with offices in London
- Hybrid working
Salary & Benefits
The salary range/rates of pay is dependent upon your experience, qualifications or training.