Interim Head of Business Analytics

Who you are

• 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

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, 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

Data Visualisation and Reporting

• 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

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 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

Work Arrangement

• Location: London
• 1+ day a week in office
• 6-Month Fixed-Term Contract

Required Skills & Experience

• SQL (Advanced)
• Python / R
• Senior and Expert level proficiency

Compensation

• Salary not provided

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