TestYantra Software Solutions
Network Design Data Product Owner

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Key Responsibilities
- Support the Data Product Manager in managing the lifecycle of data products, including discovery, definition, delivery, and iteration.
- Collaborate with stakeholders across Data, and Engineering teams to gather requirements and understand user needs.
- Assist in writing user stories, maintaining product backlogs, and prioritizing features based on business value and user impact.
- Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives.
- Conduct user research and data analysis to inform product decisions and measure outcomes.
- Help coordinate testing, feedback loops, and continuous improvement activities.
- Contribute to product documentation, training materials, and stakeholder communications.
- Promote data-driven decision-making and support the adoption of data products across the business.
- Identify what data is required to support better operational and planning decisions.
- Work with data analysts and engineering SMEs to validate data quality, source systems, assumptions, and business rules.
- Have a very good understanding of the data attributes and data products catalogue to support various teams.
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.
Required Qualifications and Experience


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Degree or equivalent experience in a relevant field (e.g., Business, Engineering, Data Science, Computer Science, Junior Data Product Manager, or related discipline).
- Demonstrable experience (e.g., early career role, internship, or placement) in a data, product, or business analysis environment.
- Familiarity with Agile methodologies and tools such as Jira, Confluence.
- Strong communication and interpersonal skills, with the ability to work effectively across multidisciplinary teams.
- Analytical mindset with a strong interest in data, systems, and user-centric design.
“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
Skills
Location