Head of Analytics & Data Product
Ref: CB7263

The Opportunity

I am currently looking for a Head of Analytics & Product to join a disruptive Sports & Health Consultancy/SaaS business. With the support of a huge Series C & prestigious Private Equity fund, you will have the opportunity to hire & develop a world-class data practice. The Head of Analytics & Data Product is a position for an experienced professional to oversee all aspects of analytics, data visualisation, and developing the business product.

This business grew over 250% in the last 12months, offers equity, moved into new offices & will all you to exercise autonomy in team management and decision making. Communication, gravitas & a sense of humour will be key as you report directly to the C-Suite & PE Fund when required.

The Role

  • Run and manage a team of Product Analysts & BI Analysts
  • Improve & optimize the quality and performance of the product to ensure it remains a market leader against competitors
  • Spearhead initiatives through analysis & customer analytics to drive further successful international expansion
  • Overseeing major analytics projects within the BI team, including the transition of our data warehouse and major cross-database mapping
  • Create a world-class product & analytics division through hiring a further 6-10 team members before the end of 2022
  • Oversee & create a strategy for product analytics, a/b testing
  • Improve the quality of scheduling for growth & engagement with clients/customers
  • Communicate resource requirements for additional staff and tools to suit the team’s needs across all business intelligence functions (data architecture, data visualisation, data science) (i.e Tableau/Looker/Snowflake/Redshift etc)
  • Coordinating resources within the BI team to ensure projects get delivered on time with exceptional quality

The Requirements

  • 5+ years of experience working in data analytics and visualisation, including at least 3+ years in a managerial function
  • Previously experience as leading the development of a data product (ESSENTIAL)
  • Experience working with ‘product’
  • Private Equity/Venture Capital/High-Growth environment
  • Online, Professional Services, e-commerce, SaaS, Health
  • Experience with data warehousing, including knowledge of ETL pipelines and data architecture (desired)
  • Bachelor’s or Master’s degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, Economics, Finance, Information Systems, etc.)
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