Oscar
Business Intelligence Analyst

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BI Analyst
Location: Leeds (Hybrid, 2-3 days per week in the office)
Salary: £40,000 - £60,000 DOE
Industry: Insurance
The Opportunity
I'm currently working with a well-established insurance organisation based in Leeds that is looking to hire a BI Analyst to join its growing data and analytics team.
This is an excellent opportunity to play a key role in delivering meaningful reporting and business intelligence solutions that help drive strategic decision-making across the organisation. You'll work closely with stakeholders from across the business to understand reporting requirements, develop insightful dashboards and ensure key decision-makers have access to accurate and actionable data.
The business is continuing to invest in its data capabilities, making this an exciting time to join a team that is committed to improving reporting, enhancing data quality and promoting a data-driven culture.
If you're passionate about turning data into meaningful insights and enjoy working with both technical and non-technical stakeholders, this could be an excellent next step in your career.
Key Responsibilities
- Design, develop and maintain business intelligence dashboards and reports for stakeholders across the organisation.
- Analyse business performance data to identify trends, opportunities and areas for improvement.
- Gather reporting requirements from business users and translate them into effective BI solutions.
- Develop and maintain SQL queries to extract, manipulate and analyse data.
- Ensure the accuracy, consistency and quality of reporting across multiple data sources.
- Work closely with Data Engineers and wider technology teams to improve reporting capabilities.
- Produce regular management information and KPI reporting for senior leadership.
- Support ad-hoc analysis to answer key business questions.
- Document reporting processes and maintain reporting standards.
- Promote best practices around reporting, data quality and business intelligence.
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.
Essential Skills and Experience
- Previous experience as a BI Analyst, Data Analyst or similar role.
- Strong SQL skills with experience querying relational databases.
- Experience developing dashboards using Power BI.
- Strong analytical skills with the ability to interpret and communicate complex data.
- Experience gathering business requirements and working with stakeholders.
- Excellent communication and presentation skills.
- Strong attention to detail and problem-solving abilities.
- Ability to manage multiple priorities within a fast-paced environment.


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Desirable Skills
- Previous experience within the insurance, financial services or other regulated industries.
- Understanding of data warehousing concepts and dimensional modelling.
- Exposure to Python or R for data analysis.
- Knowledge of data governance and data quality best practices.
- Experience working within Agile environments.
Package and Benefits
- £40,000 - £60,000 salary (depending on experience).
- Hybrid working (2-3 days per week in the Leeds office).
- Annual performance bonus.
- Competitive pension scheme.
- Private medical insurance.
- 25 days annual leave plus bank holidays.
- Life assurance.
- Flexible benefits package.
- Ongoing learning and professional development opportunities.
- Clear progression opportunities within a growing data function.
- Opportunity to work on business-critical reporting and analytics projects that directly influence strategic decision-making.
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