Business Data Analyst

Markerstudy Group; Peterborough; On-site; GBP 25,000 - 35,000; Full time

Job summary

A leading insurance company in Peterborough is seeking a Business Data Analyst to join their fast-growing Data Science team. The role involves analyzing large data sets, developing analytical tools, and contributing to impactful data-driven decisions. Candidates should hold a strong maths or related science degree, have excellent communication skills, and a passion for data. This is an excellent opportunity for someone looking to advance their data science career in a competitive market.

Qualifications

• Strong maths / related science degree or demonstratable commercial experience.
• Passionate and curious about data, loves solving problems.
• Proficient at communicating results in a concise manner.

Responsibilities

• Load, process, analyze, evaluate and document large data sets.
• Assist in developing tools for data processing and insight.
• Work with other Data Scientists to interpret analysis results.

Skills

Strong maths / related science degree

Problem-solving skills

Strong communication skills

Team player

Self-motivated

Education

Degree in Mathematics or related field

Job description

Overview

Markerstudy Group are looking for a Business Data Analyst to join a fast-growing team and business. It’s the perfect opportunity for someone that is both commercially focussed and technically minded and looking to kick start their career in insurance.

Our Data Science Team provides value in showcasing the business how to monetise data. We are a team of Data Science analytical professionals working with every corner of our commercial business. This role sits in the Data Science team. The Data Science team provides insights, data products and consultative services to internal / external stakeholders from partnerships, insurers, customer insight, digital, marketing and call centre teams.

As Business Data Analyst, you will use your analytical skills to:

• Load, process, analyze, evaluate and document (large) data sets
• Preparing data sets for modelling
• Contribute to designing (with support) data frame structures for efficient data manipulation and information retrieval
• Assist in developing tools for data processing, information retrieval and insight
• Maintain data products using machine learning and statistical techniques
• Contributes to project & concept presentations (creation and presenting)
• Working with other Data Scientists & Managers to interpret analysis results.

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

As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. You will aspire to become an experienced, ‘commercially focused’ data analyst/scientist.

Key Skills and Experience

• 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!
• 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

• 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
• Value differences and people from all walks of life, both colleagues and customers