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Job Description
Key Responsibilities
- Support the Data Product Manager in managing the lifecycle of data products, including discovery, definition, delivery, and iteration.
- Collaborate with stakeholders across Client’s, Data, and Engineering teams to gather requirements and understand user needs.
- Assist in writing user stories, maintaining product backlogs, and prioritising features based on business value and user impact.
- Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives.
- Have a very good understanding of the data attributes and data products catalogue to support various teams.
Required Qualifications and Experience
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.
See breakdownIt searches the market for you
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.
- Degree or equivalent experience in a relevant field (e.g., Business, Engineering, Data Science, Computer Science, Junior Data Product Manager, or related discipline).
- Demonstrable experience (e.g., early career role, internship, or placement) in a data, product, or business analysis environment.
- Familiarity with Agile methodologies and tools such as Jira, Confluence.
- Understanding of data governance, data lineage, master data, integration and API-based products.
- Strong understanding of Product ownership and Business Analysis.
- Self-motivated, willing to learn and adapt in a fast-paced, agile environment.
- Strong stakeholder management and communication skills.
- Experience working with cross-functional teams including customers, architects, engineers, developers, and testers.
- Experience with data visualisation tools (e.g., Power BI) or data analysis techniques is a plus.
- Experience working on data-heavy products, engineering platforms, digital twins, analytics products, or operational decision-support tools is highly beneficial.
- Understanding of data governance, data quality, or metadata management is advantageous.
- Experience in Energy, Electricity Transmission, Asset & Operational Data industries is advantageous.


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