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Data career pathways

Turn raw data into decisions: SQL, analysis, statistics, visualisation, pipelines and the judgement to interpret results honestly.

Every AI system depends on good data, and every organisation needs people who can ask the right question of it. Career changers often bring the most valuable part already: knowing which questions matter to the business.

Pathways in Data

Data Analytics

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Query, analyse and communicate data with SQL, spreadsheets, BI tools and sound statistical judgement.

Who it suits
Marketing, finance, operations and customer service professionals who already work with reports and want to produce the analysis themselves.
Roles to aim for
Data Analyst, Business Intelligence Analyst, Reporting Analyst, Insight Analyst
Core skills you build
SQL, Spreadsheets (Excel / Sheets), Data cleaning & preparation, Statistics, Data visualisation, BI tools (Power BI / Looker Studio), Data storytelling
Time
About 37 hours of guided work plus projects. Most people finish in 8 to 12 weeks alongside a job.

Two realistic projects for your Career Proof: self-checked on Sprint, mentor-reviewed on Accelerate. Full project briefs and the week-by-week plan come in your pathway brochure.

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How every pathway works

The same six stages apply whichever role you choose.

See the platform
  1. 01DiscoverUnderstand your starting point and your target.
  2. 02BuildDevelop the skills you need.
  3. 03PractiseWork through realistic projects.
  4. 04ProveCreate evidence and receive validation.
  5. 05ConnectMeet mentors and become visible to employers.
  6. 06TransitionMove towards interviews and your next role.

Questions about Data

Other career families:

Can I become a data analyst without a maths degree?

Yes. Most analyst roles need confident SQL, spreadsheet and visualisation skills, sound statistical reasoning and clear communication. The pathway teaches the statistics you need through applied problems.

Should I learn Python or SQL first?

SQL first. It appears in most UK analyst job adverts and gives you results quickly. Python follows once you are comfortable querying and shaping data.

What does data literacy mean for my current job?

Reading charts critically, questioning how a number was produced and making decisions with appropriate uncertainty. The Data Analytics pathway builds this in from the first week, so it is useful even before you change role.

What is the difference between a data analyst and a data engineer?

Analysts answer questions with data. Engineers build and maintain the pipelines and models that make trustworthy data available in the first place.

Next step 4 of 4

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Choose your target role, then book a free 10-minute call with a mentor.

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