Overview
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)
Key Responsibilities
* 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.
Key Skills and Experience
* 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.
Desirable
* 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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Banking
#J-18808-Ljbffr