Data Analyst

Marleyriskconsultants; Cheltenham; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A leading insurance consultancy in Cheltenham seeks a Data Analyst to support data-driven decision making. Responsibilities include analyzing large datasets, reporting, and engaging stakeholders to promote a data strategy. The ideal candidate has experience in the insurance industry, strong analytical skills, and proficiency in Power BI and Excel. This full-time role offers a hybrid working arrangement and a competitive salary between £35,000 and £45,000.

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 experience in data analysis in the insurance industry.
• Strong problem-solving skills with attention to detail.
• Ability to interpret and analyze complex data sets.

Responsibilities

• Analyze large monthly data sets for clients and produce reports.
• Drive data-led decision making across the business.
• Complete complex ad hoc data analysis requests.

Skills

Data analysis

Attention to detail

Strong numerical skills

Power BI

Advanced Excel skills

Data science skills

Strong communication skills

Collaborative team player

Education

Degree in a numerical discipline (Mathematics, Statistics, Data Science)

Tools

Power BI

Excel

Job description

Data Analyst

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.

Key Details

• Hybrid working arrangement with a primary base at the Cheltenham office
• Full‑time (Mon‑Fri)
• Annual salary: £35,000 - £45,000

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 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 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 underwriting or statistical disciplines
• Attention to detail, strong problem‑solving skills; experience with insurance underwriting concepts and rating tools is preferable
• Strong numerical and analytical skills, able to interpret, analyse and report on complex data sets, conduct qualitative/quantitative analysis
• 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 consistency
• Advanced Excel skills – proficiency with functions, lookups, index match, pivot tables and visualisations
• Data science and predictive modelling skills – using techniques to model past data for future predictions and understanding drivers of trends and patterns is preferable
• Strong verbal and written communication skills
• Collaborative team player, able to deliver projects and share knowledge and expertise
• Ability to build positive and effective relationships with internal and external stakeholders
• Prior experience working as part of a data team is preferred
• Comfortable working independently under instruction
• Preferred education: 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