BULLIT SYSTEMS
Senior Data Analyst

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Role Summary
We are looking for an experienced Data Analyst with 10-12 years of experience in the Banking & Financial Services domain, strong expertise in AWS cloud technologies, and hands-on experience in data mapping and data analysis. The candidate will work closely with business stakeholders, data engineers, and architects to analyze business requirements, define source-to-target mappings, ensure data quality, and support enterprise data initiatives.
Key Responsibilities
- Gather, analyze, and document business and data requirements from banking stakeholders.
- Analyze large datasets and provide actionable insights to support business decisions.
- Work with AWS services such as S3, Glue, Athena, Redshift, Lambda, and RDS.
- Conduct data profiling, validation, reconciliation, and quality assurance activities.
- Collaborate with data engineering teams to support ETL/ELT development and data migration projects.
- Create and maintain data dictionaries, metadata, and business rules documentation.
- Support regulatory, risk, compliance, payments, lending, or core banking data initiatives.
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.
Required Skills
- 10-12 years of experience as a Data Analyst in the Banking/Financial Services sector.
- Strong experience in Data Mapping, Data Analysis, Data Profiling, and Data Governance.
- Hands-on experience with AWS data services (Redshift, Glue, S3, Athena, Lambda).
- Advanced SQL skills and experience working with large-scale data platforms.
- Knowledge of data modeling concepts and ETL processes.
- Strong stakeholder management and communication skills.


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Preferred
- Experience with core banking, payments, lending, risk, or regulatory reporting.
- Exposure to Agile delivery methodologies.
- AWS Certification is an added advantage.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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