Our client is transitioning from a traditional business model to a data-driven approach, focusing on maximising the value of their extensive data assets. Backed by venture capital for the past two years, they are working towards creating and monetising a subscription-based data product. To achieve this, they are building a solid data function that can generate valuable insights, guide product development, and drive commercial growth.

As the Data Insights Manager, you will lead a small data team, ensuring that all data is validated, accurate, and aligned with market needs. You will engage with both internal and external stakeholders to deliver valuable insights that support the company’s commercial and strategic objectives. While this role is primarily focused on data insights, your work will contribute directly to the creation and refinement of the company’s data products, helping to transform data into a marketable subscription-based offering.

Responsibilities:

Stakeholder Engagement

• Collaborate with internal teams, clients, and external industry experts to understand data requirements and refine data to meet specific needs.
• Act as a primary contact for stakeholders, ensuring data insights align with business challenges and incorporating feedback into data processes.
• Present insights to both technical and non-technical audiences, transforming complex data into clear, actionable outcomes that influence decision-making.

Data Validation and Governance

• Lead efforts to implement robust data validation and governance frameworks, ensuring the accuracy, reliability, and integrity of the company’s data.
• Maintain high standards of data quality, ensuring that insights are fully validated and compliant with internal and external standards.
• Continuously enhance the efficiency and accuracy of data processing and reporting mechanisms, ensuring data quality remains a priority.

Insight Generation and Reporting

• Translate complex datasets into actionable insights, creating user-friendly reports and dashboards aligned with business objectives.
• Work closely with commercial and product teams to enhance data offerings by identifying key trends and emerging opportunities within the data.
• Communicate findings clearly through reports and presentations, helping stakeholders understand the strategic value of data insights.

Involvement in Data Product Development

• Support the creation of client-facing data products, offering insights that guide product development, packaging, and delivery.
• Collaborate with leadership to shape the strategic direction of data products, ensuring they meet client needs and are designed for commercial success.
• Play a key role in positioning data as a core product offering, contributing to the company’s overall data-driven vision.

Innovation and Tool Selection

• Identify and implement innovative tools, technologies, and processes that enhance the company’s ability to deliver high-quality data insights and products.
• Stay informed of emerging trends in data analytics and data science, ensuring the company adopts the latest technologies.
• Recommend investments in tools and resources to further the company’s data capabilities, collaborating with senior leadership to secure these investments.

Required Skills:

• Strong experience with data visualisation tools such as Power BI, Tableau, or similar platforms, with the ability to create compelling, data-driven stories.
• Expertise in SQL and data processing, ensuring data accuracy and quality at all stages of the analytics process.
• Experience or knowledge of with programming languages like Python or R for advanced analytics, modelling, and data manipulation. (DESIRABLE)
• Familiarity with data governance frameworks, including the ability to implement and maintain high standards of data validation and integrity.
• Knowledge of cloud-based data platforms (Azure, AWS, or Google Cloud) and experience integrating data from multiple sources. (DESIRABLE)

Pay range and compensation package:

Performance-based bonus scheme

Pension contributions

Private healthcare

25 days of annual leave

Hybrid working arrangement (2-3 days per week in the office)

Investment in tools and technologies to support data initiatives