Fractal
Senior Data Analytics Consultant

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Senior Data Analytics Consultant
6 month Fixed Term Contract
London – Hybrid (On client site 2/3 days per week)
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal
Role Requirements:
Client management:
- Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments
- The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement
- Communicate with the clients and understand their business needs
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.
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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.
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.
Technical:
- Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
- Candidate must be well experienced with internal Google tools and publicly available tools such as Google Sheets
- Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns - Advanced knowledge of SQL is a must
- Harmonize data as required and setup models according to the business logic defined
- Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action
Project management:
- Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.


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Qualifications & Experience:
- 4+ years of work experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python).
- 5+ years of experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting
- Advanced knowledge of SQL is a must and dashboarding/BI platforms like Looker or Tableau
- Good problem solving & insight generation skills
- Excellent communication skills with technical and non-technical stakeholders
- Good to have Tableau or any visualization skill
- Prior experience with Google Sheets good to have
- Candidate having supply chain knowledge related to product sellout, sell-in, forecast, and planning would be good to have
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