Offer summary

Qualifications:

0–2 years of experience in data analytics, business intelligence, or similar fields., Solid SQL skills and ability to handle large datasets., Working knowledge of statistical concepts such as A/B testing and confidence intervals., Strong communication skills in English, both written and spoken..

Key responsibilities:

Analyze live advertising campaigns to identify trends and optimization opportunities.

Conduct statistical significance testing and develop methodologies for brand studies.

Create dashboards and present insights to non-technical stakeholders.

Translate analysis into hypotheses and features to improve AI models.

Job description

Turn billions of ad impressions into actionable stories:

LoopMe’s award-winning PurchaseLoop Brand product marries real-time surveys with AI to optimise campaigns for attention, intent and offline sales. As our Junior Data Analyst, you’ll dive into rich, high-velocity datasets, surface insights for clients and product teams, and help feed improvements straight back into our machine-learning engine.

You’ll work alongside a 5-star-rated Data Science team led by Chief Data Scientist Leonard Newnham — a culture that prizes mentorship, curiosity and impact.

What you’ll do:

Analyse live campaigns: slice billions of ad requests to reveal lift, audience trends and optimisation levers
Run statistical tests: own significance testing and methodology for PurchaseLoop Brand studies
Tell clear stories: build dashboards and present findings that non-technical stakeholders can act on
Improve the product: translate analysis into hypotheses and features for our real-time AI models
Automate the boring stuff: write SQL (and, if you fancy, a bit of Python/R) to speed up recurring reports

What you bring:

0–2 years (or strong internship) in data analytics, business intelligence or similar
Solid SQL skills and confidence wrangling large datasets
Working knowledge of statistical concepts (A/B testing, confidence intervals, t-tests)
Eagle eye for anomalies and data quality issues
Clear written & spoken English (our dashboards and docs are in English)

Bonus points for:

Python or R for data analysis / visualisation
Kibana or other ElasticSearch query tools
Exposure to digital advertising, mar-tech or e-commerce data

About the Data Science Team:

We’re a 20-person team of data scientists, ML engineers, and Java developers building production AI for real-world use — not research experiments. We’re distributed across London, Poland, and Ukraine, and we act like one team, not a satellite office.

What sets us apart:

Led by Leonard Newnham, an experienced Chief Data Scientist who codes, leads, and listens
Strong culture of autonomy, collaboration, and pragmatism — no micromanagement, no drama
Open to new ideas and ways of working — if it improves delivery, we want to hear it
Genuinely supportive and fun to work with — it’s a team where people stay and grow
Don’t just take our word for it — check our Glassdoor reviews. We have a solid 5-star rating. Search “Data Scientist” for a real view of the culture

About LoopMe:

LoopMe is a global adtech company founded to close the loop on brand advertising. Our full-stack platform leverages AI, mobile data, and attribution to deliver measurable outcomes — from purchase intent to foot traffic and offline sales.

We have offices in New York, London, Dnipro, Lviv, Singapore and more — and we’re scaling fast. With over a billion data points processed daily, our technology is pushing the boundaries of what AI can do in a production environment.

What we offer: