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Senior Data Analyst

Cornwallis Elt

Manchester

On-site

GBP 50,000 - 80,000

Full time

Yesterday
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Job summary

Join a forward-thinking insurance company as a Senior Analytics Engineer, where you'll enhance reporting and analytics capabilities. This role requires a blend of technical skills in Power BI, SSAS, and machine learning, alongside business insight to deliver data-driven solutions. You’ll collaborate with various business teams, lead analytics projects, and optimize data models while staying current with tech trends. This position offers a unique opportunity to contribute to a modern Data Platform and support AI adoption in the industry. Be part of an exciting growth period in a respected organization.

Qualifications

  • Proven experience in predictive analytics and scenario modeling.
  • Advanced skills in developing SSAS Tabular data models.

Responsibilities

  • Collaborate with teams to define reporting needs and deliver solutions.
  • Build and maintain reporting solutions using Power BI and SSAS.

Skills

Power BI
SSAS Tabular
Machine Learning
Data Science
T-SQL
Python
DAX
Predictive Analytics

Tools

Databricks

Job description

Job Description

Senior Analytics Engineer - Power BI, SSAS, T-SQL, Machine Learning, Data Science, AI, Insurance

Salary - Competitive

I am currently searching for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings strong expertise in Power BI and Tabular models, and they are now looking to strengthen it further with someone who has a background in machine learning and AI. This is a business-facing role, requiring someone who can help plan and coordinate the delivery of data-driven solutions aligned with business objectives. We've recently rolled out a modern Data Platform featuring embedded Power BI, and we're seeking someone who can combine technical skills with business insight to contribute to the development of content through an AGILE delivery methodology.

Key Responsibilities

  • Collaborate with business teams to define reporting needs and deliver effective solutions
  • Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools
  • Lead technical development and offer guidance on analytics projects
  • Maintain and improve existing reporting assets
  • Ensure solutions are thoroughly tested and properly documented
  • Optimize data models and promote best practices in performance
  • Stay current with data and reporting tech trends, including supporting AI adoption in 2025
  • Foster strong internal stakeholder relationships
  • Manage personal workload and align with delivery plans

Required Experience

  • Proven experience with predictive analytics, including forecasting and scenario modelling
  • Advanced development of SSAS Tabular data models
  • Expertise in Power BI, including dashboards and paginated reports
  • Practical experience applying AI tools to enhance analytics or operations
  • Comfortable coding in Python
  • Strong DAX and T-SQL skills, including query optimization
  • Industry experience in insurance or financial services is a plus
  • Familiarity with Databricks is advantageous
  • Confident working with stakeholders across various business levels

This is an excellent opportunity to join a well respected Insurance business on an exciting period of growth.

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