DataArt
Data Consultant with Financial expertise

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Responsibilities:
- Build trusted partner relationships with senior client stakeholders and internal account managers.
- Manage and drive collaborative, value-centered approaches to defining and solving data-related challenges.
- Coordinate with Senior Leadership to co-develop account plans and strategies for data-driven opportunities and business development.
- Generate revenue within the client account portfolio by identifying data opportunities and enabling a wide range of data & analytics engagements, particularly in the financial sector.
- Serve as the principal consultant leading complex data transformation initiatives.
- Develop and contribute to strategic deliverables such as mission statements, assessments, and roadmaps.
- Participate in data-related pre-sales activities, including opportunity assessment, responding to RFPs, preparing proposals, and supporting deal closure.
- Lead team development efforts while supporting strategic client accounts.
- Drive client value and business growth by meeting revenue targets.
- Improve internal business operations by achieving targeted billable utilization.
- Contribute to the Data & Analytics Lab’s go-to-market strategy, offerings, methodologies, and other strategic initiatives.
Requirements:
- 5+ years of experience in the financial domain.
- Hands-on experience driving data strategy, data governance, data maturity assessments, and data-driven transformation initiatives.
- Practical experience influencing data solution design and technology selection for enterprise data platforms, data warehouses, data lakes, lake houses, and data science platforms.
- Strong understanding of data and technology consulting practices.
- Proven expertise in managing large data-driven programs and driving revenue growth within an account portfolio.
- Demonstrated ability to build and develop data & analytics business development or sales engineering organizations.
- Track record of successfully managing complex technology initiatives while engaging with senior business and IT stakeholders.
- Ability to develop and grow client relationships and lead the definition and adoption of data strategies.
- Comfortable operating at a strategic level while remaining close enough to the details to provide meaningful insight.
- Good understanding of data and analytics trends.
- Experience interacting with customers, managing expectations, and communicating solutions and deliverables to senior stakeholders.
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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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.
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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


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