Junior Data Analyst
Role details
Job location
Tech stack
Job description
As part of our tight-knit Data Science team, reporting to a Senior data ninja you'll be the go-to for data insights across the business. Think of yourself as a "full-stack analyst":
- Analyze & Visualize: Turn data into actionable insights via dashboards, reports, and visualizations. Looker experience is great, but if you're familiar with Tableau or PowerBI, that works too.
- SQL Heavy Lifting: Write complex queries to uncover trends, patterns, and opportunities. SQL is your superpower here.
- Data Engineering Exposure: Help maintain pipelines and our BigQuery warehouse, and get hands-on with dbt. Don't worry if you haven't used dbt much - we'll teach you!
- Collaboration & Impact: Work across Product, Tech, and occasionally with customers to ensure data projects actually deliver value.
- Pipeline Monitoring & Governance: Keep our data flowing smoothly, securely, and reliably.
You'll have independence on your projects, but the support of an experienced team who love sharing knowledge - including Nick, who's been leading our Data Science efforts for over 5 years.
Requirements
Do you have a valid Driving Licence license?, Do you have experience in Tableau?, Do you have a Bachelor's degree?, Are you a curious, data-driven problem solver who loves turning raw numbers into insights that actually matter? Do you thrive in a fast-moving environment, take ownership of your projects, and get a buzz from seeing your analysis drive real decisions?
If yes, you'll fit right in. We are a fun, positive, and collaborative team where your work will directly influence the business and our customers. If you're SQL-savvy, love turning data into insights, and want to grow in a friendly, collaborative, and ambitious team - this is your next challenge., Experience: 2-3+ years in a data analysis or similar role.
Technical skills (key but flexible):
- SQL (must-have)
- Python (nice-to-have)
- BI tools - Looker, Tableau, PowerBI (any strong visualization experience counts)
- dbt / BigQuery / GCP - we'll train if you've got solid SQL chops
- Google Sheets / Excel - for quick wins and ad-hoc analysis
Professional qualities:
- Curious and analytical - you love digging into the data and asking "why?"
- Confident communicator - able to translate complex insights for non-technical stakeholders
- Autonomous and proactive - you don't wait to be told; you get stuck in
- Positive, collaborative, and eager to learn - a can-do attitude is everything
Bonus points: University degree (but not essential).