HireMap
Data Analyst

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Description
The Data Analyst will support different departments by transforming raw information into clear reports, useful insights, and practical recommendations.
The role will involve working with business data from multiple sources, checking its accuracy, and identifying trends, patterns, and potential areas for improvement. The successful candidate will also contribute to the development of reporting processes and dashboards used by management and operational teams.
Key Responsibilities Include
- Collecting and consolidating data from internal systems and business sources.
- Reviewing datasets to identify inconsistencies, missing information, and data quality issues.
- Preparing recurring reports and performance summaries for internal stakeholders.
- Analysing operational, commercial, and customer-related data.
- Identifying trends, patterns, and potential areas for business improvement.
- Supporting the creation and maintenance of dashboards and reporting tools.
- Tracking key performance indicators and highlighting significant variations.
- Working with different departments to understand reporting requirements.
- Documenting data sources, reporting processes, and analytical methodologies.
- Presenting findings and recommendations in a clear and accessible format.
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.
Start with a chat, not a search bar
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.
The position is suited to a structured and curious professional who enjoys working with numbers and solving business problems through data. The successful candidate should be able to manage several analytical tasks while communicating findings effectively to both technical and non-technical colleagues.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Requirements
- Previous experience in data analysis, business reporting, operations analysis, or a related area is preferred.
- Strong numerical reasoning and ability to identify relevant information within large datasets.
- Good knowledge of Excel, including formulas, pivot tables, and data validation.
- Familiarity with SQL and relational databases is considered an advantage.
- Experience with reporting or visualisation platforms such as Power BI, Tableau, or Looker is desirable.
- Ability to clean, organise, and structure data from different sources.
- Good understanding of business KPIs and performance reporting.
- Ability to explain analytical findings to non-technical stakeholders.
- Strong attention to detail and commitment to data accuracy.
- Ability to manage deadlines and work on multiple projects.
- A degree in Mathematics, Statistics, Economics, Business, Computer Science, or a related discipline is desirable.
- Excellent written and spoken English.
“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.”
Jessica, London