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Principal Responsibilities
- Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit
- Are quick to identify incomplete and diverse data sets, pinpointing data issues which may affect the accuracy and completeness of any analysis performed
- Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data sets as part of the Data Analytics Cycle
- Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary
- Work closely with multi-disciplined teams to deliver end to end client solutions in a timely manner
- Balance the technical and analytical demands of their role
- Are open-minded and flexible with a thirst for knowledge and an appetite for continuous development
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.
Responsibilities
- Clear, concise and insightful data analytics which enable our clients to make sound business decisions based on fact
- Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry need
- Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight
- Ability to take accountability and ownership for client and internal deliverables
- Work as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sites and drive continuous learning
Qualifications
- Proficiency in analytical programming language such as Python and/or SQL
- Understanding of relational databases and concepts for querying data


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Required Skills
- Proficiency in tools like SQL, Tableau, and/or Power BI
- Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigations
- Is inquisitive, suggests ‘next steps’ analysis and translates analytical findings to actionable insight
- Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial
- Able to travel throughout the UK
- Can be based at our London Office (min 2 days per week on site)
Preferred Skills
- Experience with data visualization tools and techniques
- Strong communication skills for presenting findings to stakeholders
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