Data Analytics Lead

Markerstudy Group are looking for an experienced Data Analytics Lead to help drive strategic use of data to support both Insurer Relations and Marketing teams. Sitting within the Analytics & Enrichment team, you will lead a team of analysts to deliver customer insight, selection models and performance analytics that inform decisions across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in Analytics and Data Science, playing a pivotal role in shaping how data drives commercial success.

Job Title: Data Analytics Lead

Location: Manchester (hybrid working)

• Champion analytics across the business: Advocate for the value and impact of analytics, showcasing the team’s capabilities to influence business outcomes.
• Identify opportunities for value creation: Proactively seek new ways analytics can inform strategy, improve decision-making, and deliver measurable impact.
• Partner with stakeholders: Collaborate with internal and external teams to understand their analytical needs and inspire with the art of the possible.
• Solve complex business problems: Apply creative approaches to tackle challenges and unlock insights.
• Manage and coach analysts: Lead by example, fostering a culture of curiosity, collaboration, and continuous improvement.
• Own and optimise marketing selection models: Ensure models and processes are continuously refined for maximum effectiveness.
• Champion data quality and governance: Uphold high standards of data integrity, compliance, and governance across all analytical initiatives.
• Design and enhance reporting tools: Lead the development and optimisation of reporting tools which keep an eye on key KPIs.

• Proven experience in analytics, data science, or a related field, ideally within insurance or financial services.
• Demonstrable leadership experience, with a track record of developing analysts.
• Strong academic background in a numerical discipline (e.g., BSc Mathematics, Computer Science, Data Science).
• Proficiency in statistical and machine learning techniques (e.g., logistic regression, clustering, GBMs) and the application of these in a commercial context.
• Advanced SQL skills with experience with Python and/or R.
• Solid understanding of customer segmentation and its applications.
• Excellent communication and storytelling skills, with the ability to influence senior stakeholders.
• Strong organisational and strategic thinking capabilities.
• Resilience, able to work independently to deliver projects.
• Proactively share insights, results and identify risks, without prompting.
• Proficient at communicating results in a concise manner both verbally and in writing.

• Postgraduate qualification in a relevant field (e.g., Computer Science, Data Science, Operational Research).
• Experience with modern data platforms (e.g., Databricks, Snowflake, MS Fabric).
• Familiarity with MLOps practices and version control tools (e.g., Git).
• Experience deploying and maintaining ML models in production environments.
• Exposure to A/B testing and campaign optimisation techniques.
• Knowledge of marketing mix modelling and marketing performance metrics.

Mid-Senior level

Full-time

Information Technology

Banking