Specialist Data Analyst Global Renewals

About the role

IFS is looking for a Specialist Data Analyst to join the Global Renewals function and play a central role in the intelligence that drives customer retention revenue growth and strategic decision-making. This is a hands-on role at the intersection of analytics operations and innovation building advanced reporting transforming complex multi-source data and working with global teams to deliver insights that make a measurable difference.

You will own the full data lifecycle for renewals analytics: sourcing and transforming data maintaining core operational datasets building and publishing Power BI dashboards and critically independently deriving the business intelligence that your stakeholders need. You will work closely with Renewals leadership regional managers and cross-functional partners across Finance BI and Sales Operations.

This role suits someone who already works with AI tools as a natural part of how they think through analytical problems design reporting structures and raise the quality of their outputs. We are an AI-first business and we expect this role to reflect that not as an aspiration but as a current working practice.

If you bring strong analytical rigour deep technical capability genuine business acumen and the independence to run your own workload without close supervision we want to hear from you.

What you will do

Data strategy and insight

• Build and maintain advanced Excel workbooks for in-depth contract renewal calculations forecasting and dataset collation supporting better workflows and more informed business decisions.
• Develop and maintain dynamic Power BI dashboards and reports that deliver actionable insight aligned to IFSs renewal and growth objectives drawing on validated internal data sources.
• Perform in-depth KPI analysis and scenario modelling to support quarterly and annual planning cycles enabling data-driven decision-making across the business.
• Track and report key metrics including renewal rate ACV uplift churn indicators and ARR contribution and proactively surface what the numbers mean not just what they show.
• Produce timely scheduled and ad hoc reports tailored to executive stakeholder needs aligned to the business cadence and ready to use without further editing.
• Continuously identify opportunities to improve data accuracy quality and relevance before issues reach stakeholders.

Operational intelligence

• Source cleanse and unify data from diverse internal systems into consolidated datasets that provide a reliable single view of the customer.
• Track pricing trends customer behaviour and renewal patterns to uncover actionable intelligence that supports business performance.
• Build and maintain operational performance tools that enhance visibility and support decision-making for leadership and regional managers.
• Present data findings using clear visuals and concise narratives that drive alignment and action across business units.

Cross-functional collaboration

• Partner with global teams across sales renewals and customer success to deliver data-driven insight that enhances customer engagement and revenue performance.
• Develop data stories tailored to both technical and non-technical audiences including executive leadership.
• Support data literacy across the team by sharing knowledge of analytics tools insight interpretation and data-driven ways of working.
• Contribute to cross-functional data-sharing initiatives that unlock incremental business value.

Automation and innovation

• Automate recurring reporting and business processes using Power BI Power Automate and equivalent tools reducing manual effort and increasing reliability.
• Apply AI tools actively in your analytical workflow: to conceptualise approaches sense-check logic design reporting structures and accelerate the quality of your outputs.
• Explore AI and machine learning techniques to support predictive use cases including churn risk renewal forecasting and customer segmentation as IFS continues to build its AI-first capability.
• Continuously evaluate and adopt emerging tools and techniques that improve the efficiency and scale of analytics across the function.

What you bring

Renewals and revenue knowledge

• Understanding of SaaS and enterprise software renewal mechanics contract structures uplift ACV ARR and the nuances that affect how these are calculated and reported.
• Working knowledge of churn risk indicators renewal rate reporting and the KPIs that drive performance conversations at a leadership level.
• Ability to read a dataset and independently determine what it means for the business identifying at-risk accounts tracking performance against target and interpreting anomalies without being directed to do so.
• Consistent and independent application of business rules across reporting cycles without requiring repeated clarification.

Technical capability

• Advanced Excel: complex formula construction multi-table modelling named ranges dynamic arrays and structured workbook architecture built to be maintained by others.
• Power Query: designing and maintaining multi-source transformation pipelines; hierarchy resolution logic; refresh and error handling; connectivity to enterprise source systems including ERP layers analytical data stores and cube-based reporting environments.
• Power BI: end-to-end dashboard development from data model to published output including DAX measures workspace management and delivery to executive audiences.
• Data integrity: validating outputs detecting structural changes in source data reconciling discrepancies and maintaining audit-ready datasets.
• Enterprise data platform awareness: understanding how operational data flows from an ERP and adjacent systems through staging and analytical layers; ability to trace issues back to their origin.

Analytical and communication skills

• Ability to translate a business question into an analytical approach and deliver a clear defensible answer not just a dataset.
• Knowledge of BI visualisation best practice: structuring dashboards for executive consumption using KPI cards trends comparisons and hierarchies.
• Strong verbal and written communication able to convey complex findings clearly to senior stakeholders and document work so that others can maintain it.
• Experience adapting outputs for different audiences from operational managers to executive leadership.

AI-assisted analytics

• Active working knowledge of AI tools (such as large language models) as part of the analytical workflow to conceptualise report designs sense-check data logic draft business narratives and explore approaches before building them.
• Ability to frame a business intelligence problem clearly enough to get useful output from an AI tool and to critically evaluate that output rather than accept it at face value.
• Understanding of where AI accelerates analytical work and where human judgement and data expertise remain essential.

Qualifications :

Required

• A degree in Business Economics Data Science Statistics Computer Science or a related field or equivalent professional experience.
• 5 years in a data analyst or BI analyst role within a software renewals or sales operations function.
• Active demonstrable use of AI tools as part of analytical and reporting workflows you should be able to speak to specific examples of how you use AI to conceptualise design and optimise your work. Exposure to predictive modelling or AI-driven analytical techniques applied to revenue or renewal data.
• Demonstrable advanced Excel capability able to speak to the complexity of workbooks built and maintained including formula architecture and multi-source modelling.
• Hands-on Power Query experience building and maintaining multi-source pipelines in a production environment including error handling joins and hierarchy logic.
• Power BI development experience from data model through to published dashboard including DAX and workspace management.
• Proven ability to derive business conclusions from data independently not just transform and present it.
• Proven ability to deliver to a recurring reporting cadence with minimal oversight.

Preferred

• Experience with a dedicated forecasting or incentive compensation platform and understanding of how its data scope differs from the underlying ERP.
• Familiarity with OLAP or cube-based reporting environments and connecting to them via Power Query.
• Experience working within an enterprise customer hierarchy model (parent/subsidiary/HoldCo structures).
• Microsoft certifications such as Data Analyst Associate or Power BI Certification.
• Experience with IFS applications or IFS Cloud is a strong advantage.
• Experience with Power Automate or equivalent workflow automation tools.

Additional Information :

We embrace inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. This collaborative environment ensures you can engage with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time