Analytics Engineer
Job Description
Title: Analytics Engineer
\n
Location: Manchester (Hybrid, 2-3 days per week in the office)
\n
Salary: £60,000 - £80,000 DOE
\n
Industry: Financial Services
\n
\n
The Opportunity
\n
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.
\n
\n
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.
\n
\n
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.
\n
\n
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.
\n
\n
Key Responsibilities
\n
- \n
- Develop and maintain scalable data models to support business intelligence and analytics.
- Build and optimise ELT pipelines that transform data into clean, reliable datasets.
- Work with stakeholders across the business to gather reporting and analytics requirements.
- Ensure data quality, consistency and governance across multiple data sources.
- Collaborate with Data Engineers to improve and optimise the organisation's modern data platform.
- Support the development of dashboards and reporting solutions used by senior leadership.
- Improve the accessibility and usability of data for business users through well-structured data models.
- Document data models, transformation logic and analytics processes.
- Identify opportunities to improve existing reporting, automation and data workflows.
- Promote best practices around analytics engineering, testing, documentation and data quality.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
Essential Skills and Experience
\n
- \n
- Previous experience as an Analytics Engineer, Analytics Developer, Data Engineer or similar role.
- Strong SQL skills with experience writing complex and optimised queries.
- Experience building and maintaining data models using dbt or similar transformation tools.
- Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks.
- Strong understanding of ELT processes and data modelling principles.
- Experience working with version control tools such as Git.
- Ability to translate business requirements into scalable technical solutions.
- Strong communication and stakeholder management skills.
- Excellent analytical and problem-solving abilities.
\n
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
Desirable Skills
\n
- \n
- Experience within financial services, banking, fintech or another regulated industry.
- Knowledge of Python for data transformation or automation.
- Experience with orchestration tools such as Airflow.
- Exposure to BI platforms including Power BI, Tableau or Looker.
- Understanding of data governance, data quality and regulatory reporting requirements.
- Experience working within Agile delivery teams.
- Familiarity with CI/CD and modern software engineering practices.
\n
\n
\n
\n
\n
\n
\n\n
\n
Package and Benefits
\n
- \n
- £60,000 - £80,000 salary (depending on experience).
- Hybrid working (2-3 days per week in the Manchester office).
- Annual bonus.
- Competitive pension contribution.
- Private healthcare.
- 25 days annual leave plus bank holidays.
- Ongoing learning and professional development opportunities.
- Opportunity to work with a modern cloud data stack.
- Join a collaborative team with genuine opportunities for progression and career development.
\n
\n
\n
\n
\n
\n
\n
\n
\n