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Junior Data Analyst
London, London, UK
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting
Before you apply
- New graduates
- Entry level
Job title: Junior Data Analyst
What you’ll work on
Full postingAnalyse large volumes of trading and market data to find opportunities
Build reporting and visualisation tools for management
Test traders' ideas quickly and challenge their assumptions
Build datasets and run back tests with the quant team
From the employer’s posting
Work through large volumes of trading and market data to find the edges others miss
Build the reporting tools management relies on to steer the business
test their ideas quickly, challenge assumptions and bring your own insights
from building datasets and back tests to proving what works once it's live
What you’ll bring
All qualificationsCore experience
- Degree in computer science, maths, statistics or another quantitative field
- Strong SQL
- Proficient in Python
- Experience working with large datasets
- Familiar with statistical analysis and modelling
Preferred experience
- Personal or professional experience in betting or trading
- Knowledge of major sports
Qualification wording
Degree in computer science, maths, statistics or another quantitative field
Strong SQL
Proficient in Python
Experience working with large datasets
Familiar with statistical analysis and modelling
Personal or professional experience in betting or trading
Knowledge of major sports
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
White Swan Data is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- Strong SQL - Proficient in Python - Experience working with large datasets
- Degree in computer science, maths, statistics or another quantitative field - Strong SQL - Proficient in Python
Your next step
Complete your application on whiteswandata.pinpointhq.com. The employer’s form will show what is required.
Applying through Pinpoint
- Only .pdf and .docx are accepted. Older .doc files are turned away.
Already applied? Track this application
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
As a Junior Data Analyst, you will turn complex trading and market data into actionable insights that directly influence how and where we trade. You will build reporting and visualisation tools that the team relies on to steer our strategies, uncover opportunities hidden in large datasets, and help us make smarter, faster, data-driven decisions in a fast-paced quantitative trading environment.
Working closely with traders and quants, you will have responsibility from day one: testing ideas, challenging assumptions and bringing fresh perspectives to the table. You will also collaborate with the quant team to develop and refine our models, from building datasets and running back tests to validating performance in live trading. This is an opportunity to have a tangible impact on trading performance, combining rigorous analysis with practical problem-solving to help drive the business forward.
Working closely with traders and quants, you will have responsibility from day one: testing ideas, challenging assumptions and bringing fresh perspectives to the table. You will also collaborate with the quant team to develop and refine our models, from building datasets and running back tests to validating performance in live trading. This is an opportunity to have a tangible impact on trading performance, combining rigorous analysis with practical problem-solving to help drive the business forward.
Key Responsibilities
- Turn data into decisions: your analysis will directly shape how and where we trade
- Build the reporting tools management relies on to steer the business
- Work through large volumes of trading and market data to find the edges others miss
- Be the traders' go-to analyst: test their ideas quickly, challenge assumptions and bring your own insights
- Work with the quant team to sharpen our models, from building datasets and back tests to proving what works once it's live
Skills, Knowledge and Expertise
Must have:
- Degree in computer science, maths, statistics or another quantitative field
- Strong SQL
- Proficient in Python
- Experience working with large datasets
- Familiar with statistical analysis and modelling
- Familiar with AI tools (Claude preferred)
Nice to have:
- Personal or professional experience in betting or trading
- Knowledge of major sports
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in every day and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.
Employment type
Full Time
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, London, UK
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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