Senior Data Insight Analyst

Vermelo RPO; Cambridgeshire and Peterborough; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading insurance company is seeking a Senior Data Insight Analyst to leverage data for strategic insights. You will be responsible for supporting analytics and driving improvements in products and processes within the organization. The ideal candidate has prior experience in data science, strong communication skills, and proficiency in tools like R, Python, and SQL. The role offers hybrid working opportunities based in Peterborough.

Qualifications

• Previous demonstrable Data Science / Analytics experience in a business environment.
• Strong communication skills and ability to story-tell.
• Proactive in sharing insights and results.

Responsibilities

• Support the build and maintenance of core data product capabilities.
• Deliver analytics via analysis, testing, modeling, profiling, and reporting.
• Identify new data-driven opportunities.

Skills

Data Science Experience

Strong maths or related science degree

Problem-solving

Strong communication skills

Proficient in R/Python/SQL

Ability to work independently

Concise communication

Education

Strong maths or related science degree

Tools

Azure

AWS

Databricks

Job description

Job Title: Senior Data Insight Analyst

Location: Peterborough (hybrid working)

Role Overview

Markerstudy Group are looking for an experienced Data Insight Analyst to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities.

As a Data Insight Analyst, you will use your advanced analytical skills to:

• Deliver outstanding and actionable customer insights
• Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions
• Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group
• Work collaboratively with other areas to increase overall company performance

Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market.

Key Responsibilities:

Support the build and maintenance of our core data product capabilities of in areas of debt, affordability, claims, pricing, customer personalisation and our customer service contact centre.

• Support the delivery of analytics to the business via analysis, testing, modelling, profiling, and reporting.
• Investigate data and analytical initiatives to deliver market-leading broker insight offerings.
• Identify and fulfil new data-driven opportunities.
• Continue to review and optimise our data product suite through actionable insight and recommendations.
• Design, deliver and maintain data insight and enrichment analytics solutions.
• Support junior members of the team with your experience in data science and analytics.
• Build up network across commercial data, pricing, and wider teams.

Key Skills and Experience:

• Previous demonstratable Data Science / Analytics Experience in a business environment
• Strong maths / related science degree or demonstratable commercial experience
• Passionate and curious about data. Loves solving problems
• Strong communication skills and the ability to story-tell to our stakeholders and customers, making it relevant to your audience
• Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals!
• Proficient in R/Python/Sql or other coding stacks
• Resilience, can work independently to deliver projects
• Proactively share insights, results and identify risks, without prompting
• Proficient at communicating results in a concise manner both verbally and written

Desirable

• • Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks)
  • Insurance or financial services experience
  • Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace

Behaviours:

• Team player
• Self-motivated with a drive to learn and develop
• Logical thinker with a professional and positive attitude
• Passion to innovate and improve processes
• Personality and a sense of humour