Senior Data Analytics Consultant
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Role details
Tech stack
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Job description
- Build scalable data pipelines and analytics solutions
- Design data models and cloud-based data platforms
- Lead technical delivery across client projects
- Mentor and support junior team members
- Review code and promote engineering best practice
- Translate business requirements into technical solutions
- Present recommendations to senior stakeholders
- Support data migration, integration, and transformation projects
- Contribute to architecture and tooling decisions
- Tech stack includes SQL, Python, dbt, Databricks, BigQuery, AWS, Azure, Looker, APIs, Git, and React.
Requirements
- Strong commercial experience in Data Engineering, Analytics Engineering, or BI
- Excellent SQL and dbt skills
- Experience building production-grade data pipelines
- Strong data modelling and cloud platform knowledge
- Experience with tools such as Databricks, BigQuery, AWS, or Azure
- Strong stakeholder management and communication skills
- Comfortable working directly with senior business stakeholders
- Experience mentoring or leading others
- STEM degree from a Russell Group university
Please only apply if you hold a STEM degree from a Russell Group university., Applicants must have the right to work in the UK without current or future visa sponsorship
Benefits & conditions
- £60,000 - £70,000 base salary
- Bonus scheme
- Hybrid working model
- Clear progression opportunities
- Exposure to complex, business-critical projects
- Ongoing training and professional development
About the company
This specialist consultancy helps organisations modernise their data infrastructure, analytics capabilities, and business operations. They work across data engineering, business intelligence, cloud platforms, and systems integration, delivering solutions that drive better decision-making and operational efficiency. With ambitious growth plans, they offer a fast-paced environment where technical expertise is valued and progression is encouraged.
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