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- Tasks: Lead the design of analytics solutions and collaborate with teams to enhance data-driven decision-making.
- Company: Join a leading global (re)insurer focused on digital transformation through data and analytics.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and innovative projects.
- Why this job: Make a real impact by shaping data products that drive business decisions across various departments.
- Qualifications: Strong experience with Power BI, Python, and predictive analytics; insurance background is a plus.
- Other info: Work in an agile team and engage with stakeholders to deliver cutting-edge analytics solutions.
The predicted salary is between 43200 - 72000 £ per year.
I\’m currently supporting a leading global (re)insurer that\’s investing heavily in data and analytics as a key pillar of its digital transformation. They\’ve recently launched a modern data platform and are now looking for a Senior Analytics Engineer to play a central role in building out advanced reporting, predictive analytics, and AI-driven insights across the business.
This is a business-facing role with real impact – you\’ll work closely with stakeholders across underwriting, claims, finance, and operations to shape data products that support decision-making at every level.
The opportunity:
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Work within a well-established data team, alongside Power BI and Tabular model specialists
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Lead the design and delivery of robust analytics solutions, using Power BI, SSAS Tabular, Python, and predictive modelling techniques
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Help roll out AI tools to improve forecasting, scenario planning, and operational efficiency
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Enhance existing reports and develop new solutions aligned with strategic goals
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Collaborate in an agile delivery environment with strong stakeholder engagement
Ideal background:
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Strong hands-on experience with Power BI, SSAS Tabular, DAX, and T-SQL
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Comfortable with Python for data modelling and predictive analytics
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Proven experience building forecasting models and \’what-if\’ scenarios
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Exposure to AI/ML tools applied to business problems
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Solid stakeholder management skills – able to work with teams across the business
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Background in insurance or financial services is a strong advantage
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Familiarity with Databricks is a plus
Senior Analytics Engineer in Manchester employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in Manchester
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and AI tools. Being able to discuss recent advancements or case studies during your conversations can demonstrate your passion and knowledge, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the insurance and financial services sectors. Attend industry events or join relevant online forums to connect with potential colleagues or stakeholders, which can give you insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your experience with Power BI and predictive modelling techniques through practical examples. Be ready to discuss specific projects where you've successfully implemented these tools to solve business problems.
✨Tip Number 4
Brush up on your stakeholder management skills. Think of scenarios where you've effectively collaborated with different teams, as this role requires strong communication and relationship-building abilities across various departments.
We think you need these skills to ace Senior Analytics Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SSAS Tabular, and Python. Include specific projects where you've built forecasting models or worked with AI tools, as this will demonstrate your suitability for the role.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience in analytics and stakeholder management. Mention how your background in insurance or financial services aligns with the company's goals and how you can contribute to their digital transformation.
Showcase Relevant Projects: If possible, include links to any relevant projects or portfolios that showcase your skills in predictive analytics and data modelling. This could be through GitHub or a personal website, which can help set you apart from other candidates.
Highlight Soft Skills: Since this is a business-facing role, make sure to highlight your communication and collaboration skills. Provide examples of how you've successfully engaged with stakeholders in previous roles to shape data products and support decision-making.
How to prepare for a job interview at Fruition Group
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Power BI, SSAS Tabular, DAX, and T-SQL during the interview. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your capability to deliver robust analytics solutions.
✨Demonstrate Stakeholder Engagement
Since this role involves working closely with various stakeholders, be ready to share examples of how you've effectively collaborated with teams in the past. Discuss your approach to understanding their needs and how you shaped data products to support decision-making.
✨Prepare for Predictive Modelling Questions
Given the focus on predictive analytics, brush up on your knowledge of forecasting models and 'what-if' scenarios. Be prepared to explain your thought process and methodologies used in previous projects, as well as any AI/ML tools you've applied to solve business problems.
✨Familiarise Yourself with Agile Methodologies
As the role involves working in an agile delivery environment, it’s beneficial to understand agile principles and practices. Be ready to discuss how you've adapted to agile workflows in past roles and how you can contribute to a collaborative team atmosphere.
