Head of Data & Insights

Head of Data & Insights Job Description Template

Our company is looking for a Head of Data & Insights to join our team.

Responsibilities:

  • Build business cases for new opportunities to exploit existing data set and create new data products;
  • Identify opportunities to leverage external data analytics capabilities where appropriate;
  • Driving best practices by bringing new tools, technologies and processes to the team and fostering a culture of continuous improvement;
  • Establishing controls and workflows to improve data quality and build pipelines for data science;
  • Recruiting and supporting the team, ensuring ongoing and transparent feedback and helping establish a high performance culture;
  • Manage key external relationships with regards to data e.g. data leads from shareholders, BARB and other third part data providers;
  • Work with the Commercial Director to formulate a plan for generating new revenues from commercialising data where feasible;
  • Manage the process of data sharing with shareholder and the roadmap for delivering this;
  • Engaging with stakeholders across the business to ensure their data and reporting requirements are captured and managed on the data roadmap;
  • Be responsible for driving forward its implementation by working with the Engineering team to get the right solutions developed;
  • Defining a clear mission and vision for the data function as we build up the data science pyramid of needs from collection to machine learning.

Requirements:

  • Minimum of 7+ years of relevant experience;
  • A self-starter, demonstrating out-of-the box thinking in terms of new tools, technologies and techniques;
  • An inquisitive mind, a team player and a passion for data;
  • Experience with SQL required;
  • Experience creating visual reports using platforms like Tableau;
  • Strong interpersonal and communication skills to tell a clear, concise, actionable story with data to clients and colleagues;
  • In-depth knowledge of data processing platforms like WPS, SAS or SPSS plus SQL;
  • Ability to work in a dynamic team and juggle multiple projects at once.