Data Analyst

We’re a friendly, dynamic and growing business looking for a new colleague to join our team. Marley is at the forefront of innovation in the UK Structural Warranty Insurance sector, where we provide claims management and loss adjusting services to insurer clients and our customers who may be experiencing a defect with their home.

Established in 2013, we have offices in Shrewsbury, London and Cheltenham and are going through a period of growth to meet the needs of our expanding client base and development of new services.

The postholder will be responsible for analysing, interpreting and reporting on management information data to identify trends, provide insight and assist senior management in key decision-making processes.

Location & Job Type

The position will be based in our Cheltenham Office with hybrid working available. Full-time (Mon-Fri).

Key Activities

• Produce and analyse large monthly data sets for multiple clients, creating regular reporting based on their requirements.
• Driving data led decision making across the business, working with stakeholders to help them understand how data can assist them as part of the overall data strategy for the business.
• Complete complex ad hoc data analysis requests for clients.
• Proven experience interacting directly with stakeholders at all levels, presenting data and communicating complex technical concepts clearly to non-technical audiences.
• Support the Underwriting and Claims Handling teams with relevant data and expert analysis as required.
• Play a key role in influencing and streamlining claims handling and underwriting processes, operational spend and client outcomes.
• Identify data issues and proactively seek appropriate resolutions.
• Actively participate in team discussions to highlight issues and promote group learning and deliver projects.
• Perform other tasks as reasonably required by Senior Management.

Skills And Experience

• Proven track record in data analysis within the insurance industry, with emphasis on analytic functions in insurance underwriting or statistical disciplines.
• Must be detail oriented, skilled in problem solving and experience of insurance underwriting concepts and rating tools is preferable.
• Strong numerical and analytical skills. Able to interpret, analyse and report on complex data sets with an ability to conduct, interpret and communicate qualitative/quantitative analysis.
• Strong data analysis skills with an ability to understand, visualise and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders.
• Experience with Power BI – creating and publishing dashboards, data transformation and visual conformity.
• Advanced Excel skills – proficiency with functions, lookups, index match, pivot tables and visualisations.
• Data science and predictive modelling – skills in using techniques to model past data for future predictions and understanding drivers of trends and patterns is preferable.
• Strong verbal and written communication skills.
• Ability to work collaboratively within a team to deliver projects and share knowledge and expertise.
• Able to quickly build positive and effective relationships with internal and external stakeholders.
• Prior experience working as part of a data team is preferred.
• Confident working independently under instruction.
• We prefer candidates with a degree, apprenticeship or diploma in a numerical discipline such as Mathematics, Statistics or Data Science.
• Bachelor’s degree (preferred), with GCSE English Language grade 5/C or equivalent.

Benefits

• Generous company pension.
• Cycle to work scheme.
• Tech scheme.
• Life Insurance (following successful completion of probationary period).
• Private Medical Insurance (following successful completion of probationary period).
• Flexible working.
• EV charging points (where available).
• Employee Assistance Programme.
• Free gym membership.