Harnham
Senior Data Analytics Consultant

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Senior Data Analytics Consultant
London (Hybrid, 4 days per week in the office) | £60,000 - £70,000 + Bonus
This is an opportunity to join a growing data and technology consultancy delivering large-scale transformation projects across analytics, data engineering, cloud platforms, and software development. You'll work on high-impact projects, remain hands-on technically, and play a key role in shaping data solutions for enterprise clients.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Role
- 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.
Your Skills & Experience
- 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


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Please only apply if you hold a STEM degree from a Russell Group university.
What They Offer
- £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
Additional Information
- No sponsorship available
- Applicants must have the right to work in the UK without current or future visa sponsorship
How to Apply
Apply today to learn more about this Senior Data Analytics Consultant opportunity.
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