Interim Head of Business Analytics

Company: Gofractional

Location: London

Posted: April 29th, 2026

Proven track record in analytics, strategy, or data roles in high-growth, data-rich environments
Strong track record of personally delivering complex, high-impact analysis (not just managing teams)
Solid background of data governance and reconciliation, with a strong grasp of financial and ecommerce metrics
Comfortable operating as a senior individual contributor and team leader simultaneously
Strong data management skills, having experience with python / R and advanced SQL skills
Excellent communication, presentation, and business partnering skills, inspiring confidence through powerful messaging and a natural rapport
Comfortable with ambiguity, possessing the ability to proactively work independently and collaboratively
Strong commercial acumen — able to connect analysis to revenue, margin and customer outcomes
Outstanding organisational and time management skills, with a keen eye for detail when appropriate
Resilient, pragmatic, and agile. Confident in making candid observations and openly engaging with difficult truths in order to deliver solutions
Strong stakeholder management and collaboration skills to understand business needs, challenges and objectives

The Head of Analytics is responsible for maximising the impact of analytics across HeliosX during a period of transition.
The role will drive higher-quality, insight-led decision-making by leveraging existing data capabilities and embedding advanced analytical thinking across the business. Operating as a hands on leader, the role combines direct delivery of high impact analysis with the development and uplift of analytics capability across the team, ensuring consistent, value-driven outputs aligned to business priorities

Act as the lead analytical problem solver on the most critical business questions
Deliver end-to-end, deep-dive analysis across areas such as:
Acquisition performance & channel efficiency
Retention, churn and LTV dynamics
Pricing and commercial optimisation
Operational performance and cost drivers
Provide actionable recommendations based on data insights to inform strategic and operational decisions
Work with cross-functional leadership to identify, collect, analyze, and interpret data to help refine and prioritise Group strategy
Move beyond descriptive reporting to diagnose root causes and identify clear actions
Work directly with senior stakeholders to shape decisions in real time
Lead the delivery of reports and presentations to communicate findings
Work with the Financial Planning & Analysis (FP&A) lead to ensure analytical insights are incorporated into the business plan and that variances to plan can be explained
Partner with Data Science to integrate; Predictive. Modelling, Experimentation and Advanced segmentation

Reduce time spent on manual reporting and dashboard production
Leverage AI + Snowflake capabilities to automate or eliminate low-value workflows
Redefine team priorities toward fewer, higher-impact analytical outputs
Establish a culture of proactive, hypothesis-led analysis
Lead on BI education and data literacy for business stakeholders across functional teams
Ensure data-driven insights are presented in a clear and actionable format

Set a new standard for; problem structuring, analytical depth and commercial insight
Coach analysts through real work and live problem solving
Stay close to the work, actively reviewing and contributing to analysisIntroduce more rigorous approaches to; hypothesis-driven analysis, causal thinking and then how to translate data into decisions
Work alongside Data Governance to improve metric clarity and trust over time

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