Data Analyst

Marley Risk Consultants Limited; Bishop's Cleeve; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A risk consultancy firm in Bishop's Cleeve is seeking a skilled Data Analyst to analyze management information data and drive data-led decision making. The ideal candidate will have a strong background in data analysis within the insurance industry, advanced Excel skills, and experience with Power BI. This role offers a hybrid working arrangement and a yearly salary of £35,000 - £45,000.

Benefits

Generous company pension

Cycle to work scheme

Free gym membership

Private Medical Insurance

Flexible working

Qualifications

• Proven track record in data analysis within the insurance industry.
• Strong data analysis and visualization skills.
• Experience with predictive modeling techniques.

Responsibilities

• Analyze and report on management information data.
• Produce large monthly data sets for clients.
• Support underwriting and claims handling teams with data.

Skills

Data analysis experience

Attention to detail

Strong numerical skills

Power BI proficiency

Advanced Excel skills

Communication skills

Education

Degree in Mathematics, Statistics, or Data Science

Tools

Excel

Power BI

Job description

• Hybrid
• 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

• This role offers a 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
• 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 effect 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.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.