Interim Head of Business Analytics

Posted 18 hours 20 minutes ago by Gofractional

Permanent
Full Time
Other
London, United Kingdom
Job Description
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