Manchester
Job title: Data Analyst Locations: Manchester (hybrid working) Role overview As a Data Analyst at Markerstudy, you will contribute to the delivery of analytics solutions that support strategic decision-making across our insurance brands. Working within the Analytics & Enrichment team, you’ll help generate insights that improve insurer panel performance collaborating with teams across pricing and insurer relations. This role is ideal for someone with a strong analytical foundation, a passion for data, and a desire to grow their technical and commercial skills in a fast-paced, data-driven environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Key Responsibilities: • Deliver high-quality analysis: Produce accurate, timely insights that support day-to-day business decisions., • Answer business questions with data: Analyse datasets to explain performance, identify trends, and highlight opportunities or risks., • Collaborate with stakeholders: Work with partners to understand requirements, clarify questions, and respond to feedback., • Maintain reporting and dashboards: Build, refresh, and monitor reports tracking key metrics and KPIs., • Support analytical models and processes: Contribute to the development, testing, and ongoing monitoring of existing models such as marketing selection models., • Continuously develop analytical skills: Build technical and business knowledge, staying curious and open to new tools and techniques. Key Skills and Experience: • Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science)., • Proficiency in SQL and working knowledge of Python and/or R., • Understanding of statistical and machine learning techniques (e.g. regression, clustering)., • Strong communication skills with the ability to explain technical concepts to non-technical audiences., • Organised, proactive, and able to manage multiple tasks effectively. Desirable • Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research), • Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric)., • Familiarity with MLOps practices and version control tools (e.g. Git)., • Experience with deployment and maintenance of ML models in production environments., • SQL, • MS Excel, • Power BI, • Python and/or R Behaviours: • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes