Analytics Engineer Job Manchester area,England UK,IT/Tech

Develop analytics engineering and reporting solutions that help business users access trusted insight and make informed decisions
Work with business stakeholders, Product Owners, Business Analysts and other Data colleagues to understand information needs and translate them into clear, deliverable requirements
Design, build and maintain semantic models, datasets and reporting solutions using Power BI, paginated reports and Databricks
Improve report and dataset performance by reviewing data models, DAX calculations, queries and refresh approaches
Apply data validation, reconciliation and testing to ensure analytics outputs are accurate and reliable
Document data sources, logic, refresh schedules, access requirements and support considerations
Follow standards for modelling, naming, testing, deployment and version control
Support rationalisation and redevelopment of legacy reporting solutions for migration onto modern platforms
Communicate analytics outputs, assumptions, risks and limitations to technical and non-technical audiences
Plan and manage assigned work items, estimates, dependencies, risks and blockers
Participate in peer review, knowledge sharing and team ceremonies
Use analytics engineering practices, automation and AI-assisted tools to improve delivery quality and efficiency
Keep abreast of developments in data, analytics and reporting technology
Manage own task list and agreed priorities
Undertake other ad-hoc duties as required

Requirements

Hands-on development experience with Power BI, including DAX, tabular/semantic models and paginated reports
Good understanding of analytics engineering principles, semantic/dimensional modelling and cloud-based data platforms
Experience building clear, reliable and user-friendly reports and dashboards that support business decision making
Good SQL skills for querying, analysing and transforming data
Familiarity with Azure Dev Ops, Git and development lifecycle practices, including peer review, testing and deployment processes
Experience working in an Agile or Scrum environment and contributing effectively within cross-functional teams
Analytical and problem-solving skills with good attention to detail and a continuous improvement mindset
Good communication skills, with the ability to explain analysis, assumptions and solution choices clearly to technical and non-technical audiences
Experience with AI-assisted development tools and copilots to improve productivity and delivery outcomes is advantageous
Familiarity with Tabular Editor and Databricks is desirable
Familiarity with specialty (re) insurance or Lloyd’s market data such as bordereaux, delegated authority, underwriting and claims is advantageous

Core Competencies

Demonstrates expertise in developing analytics engineering solutions and reporting tools, particularly with Power BI and DAX, while ensuring data accuracy and reliability through validation and testing. Proficient in collaborating with cross-functional teams to translate business needs into actionable insights and user-friendly reports.

Highest-signal resume keywords

Power BI Development
DAX Calculations
SQL Querying
Agile Methodologies
Analytics Engineering Principles

Hard Skills

Power BI
DAX
SQL
Semantic Modelling
Data Validation
Reporting Solutions
Data Analysis
Automation Tools
AI-Assisted Development
Tabular Models

Soft Skills

Analytical Skills
Problem-Solving
Attention to Detail
Communication Skills
Continuous Improvement Mindset

Industry Keywords

Analytics Engineering
Cross-Functional Teams
Lloyd's Market Data
Underwriting
Claims

Tools & Technologies

Azure Dev Ops
Git
Databricks
Tabular Editor
Paginated Reports

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