Middle/Senior Data Analyst
- Location
- Remote
- Employment
- Full-time
- Level
- Mid-level
- Category
- Data & Analytics
- Posted
- Deadline
Description
We're looking for a Data Analyst to build the analytics function for a digital product. This role offers autonomy, influence on product decisions, and opportunities for professional and career growth. Together, we'll build modern analytics powered by AI and automation.
What you'll do
Define event tracking requirements and validate data collection.
Collaborate with a Data Engineer to build datasets and data marts and establish data quality requirements.
Define key metrics and their calculation logic.
Build dashboards and conduct ad-hoc analyses.
Analyze user behavior, funnels, retention, and monetization to identify product growth opportunities.
Design and evaluate A/B tests.
Partner with product and marketing teams to turn data into actionable business recommendations.
Automate analytics workflows using SQL, Python, and AI tools.
Develop and validate predictive models for LTV forecasting, churn prediction, and user behavior.
What we're looking for
3+ years of experience in product, marketing or business analytics.
Strong SQL skills and experience with PostgreSQL and/or BigQuery.
Hands-on experience with Python and Git.
Experience with BI tools such as Tableau, Power BI, Looker, or similar.
Understanding of product metrics, cohort analysis, statistics, and A/B testing.
Ability to define data requirements and collaborate with technical teams.
Ability to independently take tasks from initial questions to recommendations.
A hands-on approach, ownership, and readiness to use AI tools while validating their outputs.
English - B1+
Nice to have
Experience building and validating predictive models, ideally for LTV, churn, or user behavior.
What we offer
Freedom to choose your approach and influence the product.
The opportunity to build analytics with AI and automation.
Direct collaboration with teams and leadership.
Professional and career growth as the project develops.
Competitive salary based on experience and expertise
30 days of paid vacation, plus additional paid days off for Ukrainian national holidays
Flexible schedule and a strong work-life balance culture — we value results, not hours
Full remote work — work from anywhere you feel productive
Full-time or part-time basis of cooperation
No micromanagement — we trust our team and empower you to own your work
Transparent communication across all levels of the company
Referral program with bonuses for recommending great talent
Apply at the source
This role was published by WarpJump Company and listed via Djinni. Applications are handled there, not on this site.
Original posting: https://djinni.co/jobs/854987-middle-senior-data-analyst/