Data Analyst

AmTrust International; Bishop's Cleeve; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A leading insurance consultancy is seeking a data analyst in Bishop's Cleeve, UK, to support critical decision-making through data analysis. This hybrid role requires strong analytical skills, experience with large datasets, and proficiency in tools like Power BI and Excel. The ideal candidate will work collaboratively within a team and have a degree in a numerical discipline. Benefits include a generous pension scheme, flexible working, and private medical insurance.

Benefits

Generous company pension

Cycle to work scheme

Tech scheme

Life Insurance

Private Medical Insurance

Flexible working

EV charging points

Employee Assistance Programme

Free gym membership

Qualifications

• Proven track record in data analysis within the insurance industry.
• Detail oriented with experience in insurance underwriting concepts.
• Strong ability to interpret and report on complex data sets.

Responsibilities

• Produce and analyze large monthly data sets for multiple clients.
• Drive data-led decision making across the business.
• Complete complex ad-hoc data analysis requests for clients.

Skills

Data analysis

Strong numerical and analytical skills

Communication skills

Experience with Power BI

Advanced Excel skills

Problem-solving

Team collaboration

Education

Bachelor’s degree in Mathematics, Statistics or Data Science

Tools

Power BI

Excel

Job description

Job Description

Hybrid working arrangement. Yearly salary: £35,000 - £45,000.

Marley Risk Consultants Ltd are proud to be the difference in latent defect insurance, providing comprehensive services to ensure the very best results for all stakeholders. 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.

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.

Job Location

Hybrid working arrangement, with a primary base at our Cheltenham office.

Job Type

Full‑time (Mon‑Fri).

Key Activities

• Produce and analyse large monthly data sets for multiple clients, creating regular reporting based on their requirements.
• Drive 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.
• Interact 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.
• Influence and streamline claims handling and underwriting processes, operational spend and client outcomes.
• Identify data issues and proactively seek appropriate resolutions.
• Participate actively in team discussions to highlight issues, 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.
• 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, look up, 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.
• 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.