Data Performance Analyst
Role Overview
The Data Performance Analyst joins Sage’s Routes to Revenue team and supports sustainable in-life revenue growth across the customer base.
The role works with commercial, product, growth, and analytics teams, using customer and performance data to support migration, retention, and expansion.
Key Skills for This Role
Full Job Posting
Role overview
The Data Performance Analyst joins Sage’s Routes to Revenue team and supports sustainable in-life revenue growth across the customer base.
The role works with commercial, product, growth, and analytics teams, using customer and performance data to support migration, retention, and expansion.
What you’ll do
- Develop customer segmentation frameworks and commercial models to identify high-value migration, retention, and expansion opportunities.
- Design and maintain models that predict customer behaviour, identify risk, and quantify lifecycle growth opportunities.
- Partner with commercial leaders on strategies to reduce churn, accelerate migration to strategic products, and increase customer lifetime value.
- Build customer prioritisation frameworks for sales, success, and growth teams.
- Lead migration analytics workstreams covering customer targeting, readiness assessment, opportunity sizing, and benefits tracking.
- Deliver Fintech performance analytics and identify growth drivers, adoption trends, and ways to improve revenue contribution.
- Develop KPIs, insights, and recommendations for executive performance reporting and strategic decisions.
Essential qualifications
- Commercial understanding and experience working in or alongside SaaS, subscription, or recurring-revenue business models.
- Proven experience developing segmentation models, commercial frameworks, or analytical models that drive measurable performance.
- Ability to turn analytical findings into actionable growth recommendations for senior stakeholders.
- Strong analytical capability and a track record of translating complex datasets into clear commercial insights.
- Experience supporting customer retention, migration, expansion, or growth through data-led decisions.
- Comfort working with ambiguity and independently driving analytical investigations that influence business outcomes.
Preferred qualifications
- SQL proficiency and data warehouse querying experience; Snowflake experience is a plus.
- Experience designing propensity, risk, retention, migration, or customer value models.
- Familiarity with customer segmentation, behavioural analytics, and predictive modelling.
- Exposure to Power BI or other visualisation tools, and Python or other scripting languages.
- Experience working across commercial, product, finance, and strategy functions.
- Experience in agile or fast-paced delivery environments.
Workplace
- Hybrid working is offered.
Benefits
- Benefits include a bonus and pension scheme with up to 8% matched contribution plus a 2% Sage top-up.
- The package includes 25 days of annual leave, the option to buy up to five additional days, and eight bank holidays.
- Employees receive five paid volunteering days per year, 50% income protection, and health, dental, and vision coverage.
- Other offerings include a work-away scheme for up to 10 weeks per year, training and professional development, holiday buy and sell, and wellbeing resources.
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