Interim Head of Business Analytics (6-Month Fixed-Term Contract)

Requirements

• 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 e‑commerce 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

What the job involves

• 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.
• Commercial Analysis and Insights
• 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, analyse, 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.
• Data Visualisation and Reporting
• Reduce time spent on manual reporting and dashboard production.
• Leverage AI and 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.
• Team Management
• 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 analysis.
• Introduce more rigorous approaches to hypothesis‑driven analysis, causal thinking and how to translate data into decisions.
• Work alongside Data Governance to improve metric clarity and trust over time.

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