Jobright.ai
Data Analyst, Mid Level

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Jobright
Jobright is a personal AI job search agent that simplifies the job search process and helps users reach better job outcomes.
The Data Analyst
The Data Analyst analyzes product and business data, defines and reports metrics, validates data quality, conducts statistical and product analyses, and communicates recommendations to stakeholders.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
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.
Responsibilities
- Analyze product and business data with SQL to explain trends, customer behavior, and operational performance
- Define metrics and build reliable dashboards and recurring reports with clear definitions
- Investigate data quality issues and reconcile findings across source systems
- Design and interpret funnel, cohort, and experiment analyses with appropriate statistical checks
- Communicate findings and practical recommendations to product and business stakeholders
Qualification
Required
- Practical experience delivering data analysis from an initial business question through a documented recommendation
- Strong SQL skills, including joins, window functions, and aggregation
- Ability to build and validate dashboards using a business intelligence tool
- Working knowledge of statistics, experiment interpretation, and data quality checks
- Clear written communication and the ability to collaborate with a remote team


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred
- Experience with Python or R for reproducible analysis
- Familiarity with product analytics, event instrumentation, and metric governance
“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
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