Analytics Engineer
Leeds - Hybrid (2 days a week in the office)
Full Time, Permanent Position
Let's make the most of your talent Join us as an Analytics Engineer, where you'll drive business success and make an impact on our journey towards data-driven excellence. About us
At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field from data, technology, customer care and auto repair, to HR, finance, and procurement, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. What you'll be doing
This important role is accountable for the development and presentation of data that will help us understand, interpret and analyse ongoing claims spend. You will need to be well-versed in data methodologies, but it's also about being able to provide and present data in a manner that can be used to drive business performance. Other duties include: Develop, enhance, document and maintain processes that cleanse and transform large volumes of complex data for use in analytical workflows following best practice and development standards. Design and build data products that enable analysts and business teams to drive commercial value. Analyse existing code and processes and make suggestions for improvement. Perform unit testing, system testing and UAT. Provide technical support to analysts within the team and other areas of DLG. Liaise and collaborate with colleagues to understand and translate requirements into data products. Provide expertise, data and analytics to successfully deliver on projects, both within Claims and the wider business. Use your experience to help us be innovative, dynamic and continuously curious. Focus on costs, process improvements and efficiencies to contribute to the profitability of Direct Line Group. What we're looking for
Technical expertise in data cleansing, transformation and manipulation, with experience in delivering reliable, robust data products. The ability to gain an understanding of internal and external data sources, to gather and understand requirements and to use that knowledge and understanding to build data sets, data models and reports. Excellent level of knowledge and experience of SQL. The ability to investigate problems and make recommendations for business improvements. An innovative mindset and the ability to challenge ways of working to generate new insights and ways of doing things. Programming experience in any language (e.g. SAS, Python, R). A good understanding of data architecture and management together with coding and development methodologies. Exposure to reporting services and visualisation tools (e.g. Tableau, Qlik Sense, Alteryx or Power BI). An understanding of cloud-based platforms is beneficial (e.g. AWS, Azure, GCP). A proficient user of Microsoft applications. What we offer in return
We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Core benefits include: Generous 9% employer pension contribution. Annual company bonus of up to 10%. 25 days holiday allowance (plus the option to buy or sell up to 5 days each year). 50% off home, motor and pet insurance. Free travel insurance and Green Flag breakdown cover. Additional optional Health and Dental insurance. Plus, many more. Ways of Working
Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Salary Range:
£30,000 to £50,000 Hours:
35 hours (Monday to Friday - shift patterns can be discussed) Closing Date:
Monday 10 February
#J-18808-Ljbffr
Leeds - Hybrid (2 days a week in the office)
Full Time, Permanent Position
Let's make the most of your talent Join us as an Analytics Engineer, where you'll drive business success and make an impact on our journey towards data-driven excellence. About us
At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field from data, technology, customer care and auto repair, to HR, finance, and procurement, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. What you'll be doing
This important role is accountable for the development and presentation of data that will help us understand, interpret and analyse ongoing claims spend. You will need to be well-versed in data methodologies, but it's also about being able to provide and present data in a manner that can be used to drive business performance. Other duties include: Develop, enhance, document and maintain processes that cleanse and transform large volumes of complex data for use in analytical workflows following best practice and development standards. Design and build data products that enable analysts and business teams to drive commercial value. Analyse existing code and processes and make suggestions for improvement. Perform unit testing, system testing and UAT. Provide technical support to analysts within the team and other areas of DLG. Liaise and collaborate with colleagues to understand and translate requirements into data products. Provide expertise, data and analytics to successfully deliver on projects, both within Claims and the wider business. Use your experience to help us be innovative, dynamic and continuously curious. Focus on costs, process improvements and efficiencies to contribute to the profitability of Direct Line Group. What we're looking for
Technical expertise in data cleansing, transformation and manipulation, with experience in delivering reliable, robust data products. The ability to gain an understanding of internal and external data sources, to gather and understand requirements and to use that knowledge and understanding to build data sets, data models and reports. Excellent level of knowledge and experience of SQL. The ability to investigate problems and make recommendations for business improvements. An innovative mindset and the ability to challenge ways of working to generate new insights and ways of doing things. Programming experience in any language (e.g. SAS, Python, R). A good understanding of data architecture and management together with coding and development methodologies. Exposure to reporting services and visualisation tools (e.g. Tableau, Qlik Sense, Alteryx or Power BI). An understanding of cloud-based platforms is beneficial (e.g. AWS, Azure, GCP). A proficient user of Microsoft applications. What we offer in return
We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Core benefits include: Generous 9% employer pension contribution. Annual company bonus of up to 10%. 25 days holiday allowance (plus the option to buy or sell up to 5 days each year). 50% off home, motor and pet insurance. Free travel insurance and Green Flag breakdown cover. Additional optional Health and Dental insurance. Plus, many more. Ways of Working
Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Salary Range:
£30,000 to £50,000 Hours:
35 hours (Monday to Friday - shift patterns can be discussed) Closing Date:
Monday 10 February
#J-18808-Ljbffr
