Open role
- Analytics
- Ankara
- Full time
- 2+ years of experience
Data Analyst
Turn data from web, mobile and e-commerce products into the dashboards and analyses brands rely on to make decisions. We're looking for someone who loves SQL and wants to know the why behind every number.
About the role
Our analytics team builds the measurement layer of the products we ship, bringing data from sources like GA4, Adjust, Insider and Synerise into a single, readable picture. On forecasting and personalisation projects we work side by side with engineering.
In this role you'll turn product and marketing questions into testable hypotheses, design event schemas and own recurring reporting. You'll also explain your findings in plain language to non-technical stakeholders.
What you'll do
- Design event schemas and tracking plans for web and mobile products.
- Clean and model data from GA4, Adjust and marketing platforms in BigQuery.
- Build the Looker Studio dashboards clients and our team use every day.
- Find growth opportunities with funnel, cohort and retention analyses.
- Design A/B tests and interpret their results with statistical rigour.
- Monitor data quality and fix missing or broken events with engineers.
- Help engineering prepare data for forecasting and personalisation models.
What we're looking for
- At least 2 years of experience as a data or product analyst.
- Advanced SQL: window functions, CTEs and complex joins are part of your day.
- You clean and analyse data in Python with pandas.
- In-depth experience with GA4 or a similar product analytics tool.
- You've built dashboards in Looker Studio, Power BI or Tableau.
- A firm grasp of A/B testing, statistical significance and confidence intervals.
- You explain findings to non-technical people clearly and simply.
Nice to have
- Mobile attribution tools such as Adjust
- Data modelling with dbt
- Event setup with Google Tag Manager
- Analysis experience in e-commerce or subscription products
- Basic forecasting with regression and time series
Tools we use
- SQL
- BigQuery
- PostgreSQL
- Python
- pandas
- Jupyter
- Looker Studio
- Google Analytics 4
- Google Tag Manager
- Adjust
What we offer
A great place to work
Your ideas are heard and your work is seen; we like doing good work together.
Remote working
Where the role allows, work from wherever you do your best work.
Flexible hours
Plan your day around your own rhythm; what matters is team alignment and the work itself.
A friendly, skilled team
Work with experienced people who share what they know and tackle problems together.
Medical insurance
Your health comes first, so we keep you covered with medical insurance.
How we hire
1. We review your application
Someone on the team reads it. Yes or no, we reply to every application.
2. Intro call
A call of about 30 minutes to talk about you, your expectations and the role.
3. Technical conversation or case study
A role-specific technical conversation or a short case study, so we can see how you think.
4. Meet the team & offer
You meet the people you'd work with. If it's the right fit for both sides, we make you an offer.
Data Analyst
Apply
It takes a few minutes. Tell us about yourself, your work and why this role interests you; we read every application carefully and reply to all of them.
Your application goes straight to our team. Upload your CV with the form or share a link to it.
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