Business Data Analyst

Thinkways Software Technologies Pvt. Ltd.; Peterborough; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading insurance company is seeking a Business Data Analyst to join their fast-growing Data Science team in Peterborough or Sunderland. The role involves processing large data sets, preparing data for modeling, and contributing to presentations. Ideal candidates will possess a strong maths or related science degree, excel in problem-solving, and have strong communication skills. This position offers a unique opportunity to impact product and process improvements in a competitive insurance environment.

Qualifications

• Must have strong maths/related science degree or commercial experience.
• Passionate about data and solving problems.
• Ability to communicate results effectively to stakeholders.

Responsibilities

• Load, process, and analyze large data sets.
• Prepare data sets for modeling and develop tools for data processing.
• Contribute to project presentations and interpret results with team.

Skills

Strong maths/related science degree

Problem-solving skills

Strong communication skills

Team player

Self-motivated

Logical thinking

Education

Degree in mathematics or related science

Job description

Overview

Job Title: Business Data Analyst / Senior Business Data Analyst

Location: Peterborough or Sunderland (hybrid working)

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 as 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.

Responsibilities

• 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.

Career Path

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