Analytics Engineer

Title: Analytics Engineer

Location: Manchester (Hybrid, 2-3 days per week in the office)

Salary: £60,000 - £80,000 DOE

Industry: Financial Services

The Opportunity

I'm currently working with a growing financial services organisation based in Manchester that is looking to hire an Analytics Engineer to strengthen its data and analytics function.

This is an exciting opportunity to join a business investing heavily in its data platform, where you'll play a key role in transforming raw data into trusted, business-ready datasets that support reporting, analytics and strategic decision-making across the organisation.

Working closely with Data Engineers, BI Analysts and key business stakeholders, you'll be responsible for developing scalable data models, improving data quality and enabling self-service analytics across multiple business functions.

This role would suit someone who enjoys solving complex data challenges, working with modern data technologies and collaborating with both technical and non-technical teams to deliver meaningful business outcomes.

Key Responsibilities

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• Develop and maintain scalable data models to support business intelligence and analytics.
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• Build and optimise ELT pipelines that transform data into clean, reliable datasets.
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• Work with stakeholders across the business to gather reporting and analytics requirements.
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• Ensure data quality, consistency and governance across multiple data sources.
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• Collaborate with Data Engineers to improve and optimise the organisation's modern data platform.
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• Support the development of dashboards and reporting solutions used by senior leadership.
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• Improve the accessibility and usability of data for business users through well-structured data models.
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• Document data models, transformation logic and analytics processes.
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• Identify opportunities to improve existing reporting, automation and data workflows.
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• Promote best practices around analytics engineering, testing, documentation and data quality.
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Essential Skills and Experience

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• Previous experience as an Analytics Engineer, Analytics Developer, Data Engineer or similar role.
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• Strong SQL skills with experience writing complex and optimised queries.
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• Experience building and maintaining data models using dbt or similar transformation tools.
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• Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks.
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• Strong understanding of ELT processes and data modelling principles.
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• Experience working with version control tools such as Git.
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• Ability to translate business requirements into scalable technical solutions.
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• Strong communication and stakeholder management skills.
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• Excellent analytical and problem-solving abilities.
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Desirable Skills

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• Experience within financial services, banking, fintech or another regulated industry.
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• Knowledge of Python for data transformation or automation.
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• Experience with orchestration tools such as Airflow.
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• Exposure to BI platforms including Power BI, Tableau or Looker.
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• Understanding of data governance, data quality and regulatory reporting requirements.
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• Experience working within Agile delivery teams.
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• Familiarity with CI/CD and modern software engineering practices.
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Package and Benefits

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• £60,000 - £80,000 salary (depending on experience).
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• Hybrid working (2-3 days per week in the Manchester office).
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• Annual bonus.
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• Competitive pension contribution.
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• Private healthcare.
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• 25 days annual leave plus bank holidays.
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• Ongoing learning and professional development opportunities.
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• Opportunity to work with a modern cloud data stack.
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• Join a collaborative team with genuine opportunities for progression and career development.
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