Job Title:
Senior Data Insight Analyst Location:
Peterborough or Manchester (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 Provide insights and support the building of data products that help shape Markerstudy’s strategic roadmaps and customer propositions Support the delivery, maintenance, 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. 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 add demonstrable commercial value. You will aspire to become an experienced data scientist. Key Responsibilities:
Support the build and maintenance of our core data product capabilities 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 a network across commercial data, pricing, and wider teams. Key Skills and Experience:
Previous demonstrable Data Science / Analytics Experience in a business environment Strong maths / related science degree or demonstrable 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
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Senior Data Insight Analyst Location:
Peterborough or Manchester (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 Provide insights and support the building of data products that help shape Markerstudy’s strategic roadmaps and customer propositions Support the delivery, maintenance, 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. 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 add demonstrable commercial value. You will aspire to become an experienced data scientist. Key Responsibilities:
Support the build and maintenance of our core data product capabilities 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 a network across commercial data, pricing, and wider teams. Key Skills and Experience:
Previous demonstrable Data Science / Analytics Experience in a business environment Strong maths / related science degree or demonstrable 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
#J-18808-Ljbffr
