Data Performance Analyst

Sage City; Newcastle upon Tyne; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Bonus scheme and pension

Hybrid working

25 days annual leave

Volunteer days (5)

Income protection

Work away scheme

Wellbeing and health memberships

Job summary

Sage is seeking a commercially minded analyst to shape revenue growth across customers by turning data into strategies that accelerate migration and expand value. You will work with commercial, product, growth, and analytics teams to pressure-test initiatives and quantify benefits.

You will build models, KPIs, and insights to inform executive decisions and support cross-functional migration programs in a dynamic, hybrid environment.

Qualifications

• Experience building segmentation models and analytics for SaaS/recurring revenue.
• Proven ability translating analytics into growth recommendations for senior stakeholders.
• Strong data-driven decision making under ambiguity.

Responsibilities

• Develop segmentation frameworks to identify migration, retention, and expansion opportunities.
• Design predictive models to forecast customer behaviour and quantify growth.
• Partner with commercial leaders to drive data-driven strategies for churn reduction.
• Lead analytics workstreams for migration programmes and metrics tracking.
• Support executive reporting with KPIs and actionable insights.

Skills

Data analysis

Segmentation

Growth modeling

Stakeholder management

Commercial acumen

Tools

SQL

Snowflake

Power BI

Python

Job description

Job Description Are you a commercially minded analyst who thrives at the intersection of data, strategy, and growth? This is a highly visible opportunity within our Routes to Revenue team at Sage, where you will play a critical role in shaping how we drive sustainable in-life revenue growth across our customer base. Working closely with commercial, product, growth, and analytics teams, you will turn complex customer and performance data into clear strategies that accelerate migration, reduce churn, and unlock expansion opportunities.What You'll Be Doing• Develop customer segmentation frameworks and commercial models that identify the highest-value opportunities for migration, retention, and expansion.• Design and maintain analytical models that predict customer behaviour, highlight risk, and quantify growth opportunities across the customer lifecycle.• Partner with commercial leaders to define data-driven strategies for reducing churn, accelerating migration to strategic products, and increasing customer lifetime value.• Build prioritisation frameworks that help sales, success, and growth teams target the right customers with the right interventions at the right time.• Lead analytical workstreams supporting migration programmes, including customer targeting, readiness assessment, opportunity sizing, and benefits tracking.• Deliver Fintech performance analytics, identifying growth drivers, adoption trends, and opportunities to improve revenue contribution.• Support executive performance reporting by developing meaningful KPIs, insights, and recommendations that inform strategic decision making.Key Responsibilities What We're Looking forEssential• Commercial understanding, with 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 business performance.• Demonstrated ability to translate analytical findings into actionable growth recommendations for senior stakeholders.• Strong analytical capability with a track record of turning complex datasets into clear commercial insights.• Experience supporting customer retention, migration, expansion, or growth initiatives through data-led decision making.• Comfortable working with ambiguity and independently driving analytical investigations that influence business outcomes.Preferred• SQL proficiency and experience querying data warehouses, with Snowflake experience a plus.• Experience designing propensity, risk, retention, migration, or customer value models.• Familiarity with customer segmentation techniques, behavioural analytics, and predictive modelling approaches.• Exposure to Power BI or other visualisation tools for communicating insights effectively.• Experience working across commercial, product, finance, and strategy functions.• Exposure to Python or other scripting languages for analytical automation.• Experience working in agile or fast-paced delivery environments.What We OfferBenefits? We have plenty.Watch our benefits video here: https://www.youtube.com/watch?v=TCMtTYUUiuU• Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage.• 25 days of paid annual leave with the option to buy up to another 5 days.• 8 bank holiday days.• Paid 5 days yearly to volunteer through our Sage Foundation.• 50% income protection.• Holiday buy + sell.• Comprehensive health, dental, and vision coverage.• Work away scheme for up to 10 weeks a year.• Ongoing training and professional development.• Hybrid working.• Healthy Mind app membership.• Access to various helpful memberships for finances, health and wellbeing.