Źródło: CrawlJobs

Data Enrichment Manager

Hunter Selection | B Corp™ Reading, Wielka Brytania
Praca hybrydowa

Data publikacji: 30.08.2026

We’re recruiting for a Data Enrichment Manager to join a growing analytics function, leading a team focused on extracting greater value from data and helping drive commercial decision-making. This is a fantastic opportunity for someone with a strong analytical background and leadership experience who enjoys identifying new data opportunities, influencing business strategy, and turning complex datasets into business insights. You’ll play a key role in shaping the organisation’s data enrichment strategy while working closely with teams across analytics, technology, operations, and commercial functions.

Responsibilities

Leading, mentoring, and developing a high-performing data team.; Identifying and evaluating new internal and external data sources to drive business value.; Delivering data-driven recommendations to improve commercial performance and customer outcomes.; Working closely with technology and data engineering teams to ensure robust and scalable data solutions.; Analysing large datasets to identify trends, opportunities, and areas for improvement.; Collaborating with stakeholders across the business to support strategic objectives.; Promoting best practice around data governance, quality, and security.; Driving innovation through the use of advanced analytics, data science, and emerging technologies.

Requirements

Previous experience leading or mentoring analytical, pricing, or data-focused teams.; Experience in the Insurance industry, ideally Motor insurance; Strong analytical and problem-solving skills.; Experience working with large and complex datasets.; Advanced skills in tools such as SQL, Python, R, Power BI, Tableau, or similar.; Excellent stakeholder management and communication skills.; Commercial awareness and the ability to turn data insight into business outcomes.

Nice to have

Knowledge of predictive modelling, pricing, enrichment, or customer analytics.; Exposure to machine learning and advanced statistical techniques.

Benefits

33 days holiday; Hybrid working & flexi-time; Annual bonus opportunity; 25 days annual leave rising with service; Enhanced pension scheme; Healthcare benefits; Flexible working options; Electric vehicle leasing scheme; Discount scheme; Ongoing professional development and career progression opportunities; + many more
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