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A global technology company that excels in industrial automation and digital infrastructure is seeking a highly motivated and self-driven Data Analyst to join its Customer Success Data Science team.
This is an exciting opportunity to leverage Generative AI and automation to streamline data pipelines, uncover operational trends, and enhance customer experience and service delivery across international markets.
The Role
- Develop robust SQL pipelines, improve data integrity, and establish clear metric definitions for AI consumption.
- Create, maintain, and scale user-friendly dashboards (Tableau, Qlik, or similar) to map end-to-end customer journeys and measure performance.
- Conduct root-cause analysis to uncover drivers behind customer pain points, digital adoption challenges, and operational efficiency gaps.
- Apply Gen AI tools and LLMs to automate reporting, streamline insight generation, and eliminate manual workflows.
- Measure performance outcomes for digital experiences and AI-assisted support through A/B testing and statistical evaluation.
- Translate complex data findings into clear, persuasive narratives for technical and non-technical stakeholders to influence business strategy.
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.
What You'll Need
- Minimum 5+ years of hands-on experience in Data Analytics or Data Science.
- Expert proficiency in SQL for data extraction, transformation, and pipeline development.
- Strong proficiency with modern dashboarding/visualization tools (e.g., Tableau, Qlik).
- Knowledge of Python or R for advanced analytics and automation is highly desirable.
- Familiarity with cloud/big data platforms (Snowflake, Databricks, Spark) is preferred.
- A genuine enthusiasm for AI technologies and strong critical thinking skills to validate AI outputs for accuracy.


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What's On Offer
- Opportunity to join a forward-thinking team actively embedding AI into core workflows.
- Pivotal role in building core data capabilities and automating insights across global markets.
- Contribute to improving customer experience, digital adoption, and service delivery.
Apply via Haystack today!
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