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Data Analyst (4 Month Academy Placement Scheme)

London
£30k/yr
Posted about 2 months ago
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Data Analyst (4 Month Academy Placement Scheme)

A gateway to a career in data.

Location

Hybrid (Weekly requirement onsite in London)

Salary

£30,000 pro-rata

Start Date

1st September 2026

Duration

4 month placement

Applications are now open for the 2026 Datalynx Academy, a four-month paid placement designed for those starting their career in data, looking for hands-on experience.

About Us

As part of CACI, Datalynx is a market-leading UK data services provider with more than 20 years’ experience specialising in secure, end-to-end data migration, integration, data quality and data architecture solutions. We partner with public sector organisations, including the Home Office, UK police forces and law enforcement, as well as private enterprises and software vendors to solve complex data challenges with precision and confidence.

The Datalynx Academy

The Datalynx Academy is an innovative programme designed for individuals who want to gain practical experience working with data and explore potential career pathways within the field. Successful candidates will work alongside our industry professionals, gaining knowledge and insight into a range of data-driven roles and functions while contributing to real project tasks and working across Datalynx’s current portfolios in the Home Office, policing and data migration.

As part of the programme, candidates will receive access to training and regular feedback on their performance which can be used to further develop their learning and career progression.

The placements issued through the Academy will comprise four months of paid employment, with a mixture of home-based and on-site working. Candidates will also receive pro rata leave calculated from an annual baseline of 25 days. The programme does not guarantee a permanent role, but strong performance may lead to further opportunities.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.

Who Should Apply

About

This is an excellent opportunity for someone serious about pursuing a data focused career. We’d love to hear from you if you have either:

  • A STEM degree (final year or recently graduated)
  • Relevant technical qualifications
  • Or transferable experience from the workplace

During the placement, you will have the opportunity to rotate across a range of data focused roles including Data Migration, Data Engineering, Data/Business Analysis, Data Architecture & DevOps Engineering. The focus of your placement may evolve in line with your strengths and interests.

Essential

What We’re Looking For:

  • Curious problem solvers: Excited by challenges and ready to find innovative solutions.
  • Motivated and eager to learn: Committed to developing new skills and growing within the team.
  • Team players: Friendly and able to work collaboratively in a fast-paced environment.
  • Passionate about technology: Keeping pace with new technology trends

Desirable

Experience Of The Following Is Beneficial, But Not Essential

  • Microsoft 365 applications (Word, Excel, PowerPoint, Power Bi)
  • Programming languages such as Python, Bash or PowerShell
  • SQL or other database query languages
  • Cloud platforms such as AWS or Azure

Due to the industries we work in, we require all our team to be able to obtain security clearance. To qualify for this, you must be a British passport holder and have lived permanently in the UK for the last 5 years.

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Recruitment Timeline

  • April to May 2026: Initial telephone interviews completed.
  • June 2026: Assessment day and final interviews completed.
  • End of June 2026: Job offers made and accepted.
  • 1st September – 31st December 2026: Placement period

Application Process

Along with your CV, please also provide a supporting covering letter detailing:

  • Why you are applying for this data focused placement opportunity
  • Demonstrate how your skills and experience make you a good applicant for a data focused placement
  • What attributes you could bring to Datalynx

Equal Opportunities

CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination.

At CACI, our diversity and inclusion groups provide platforms for individuals to connect and foster a sense of belonging. These groups include LGBTQ+, Women In Tech and our partnership with the National Autistic Society.

As a Disability Confident employer, we will;

  • Provide reasonable adjustments in the recruitment process where requested.
  • Offer an interview to people with health conditions and disabilities, who meet the minimum criteria for a role.

Our people are unique and we encourage and support them, to be confident in contributing to our inclusion journey.

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Jessica, London

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Skills

Data Migration
Data Engineering
Data Analysis
Data Architecture
DevOps Engineering
Problem Solving
Teamwork
Technology Trends

Location

London, England, United Kingdom

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