Data Analyst

1w1 week ago

Wix

Vilnius, LT · Full-time · €48,000 – €72,000

About this role

Join Wix’s Data team and help shape product and business decisions through data. We’re looking for a Data Analyst who combines strong analytical thinking, business understanding, and hands-on technical ability. This role sits at the intersection of product insight and data execution: answering important product questions and driving experiments.

In your day-to-day, own analytics for a product domain and develop deep understanding of its users, flows, KPIs, and business goals. Turn product and business questions into clear insights and actionable recommendations. Analyze funnels, cohorts, experiments, product behavior, and growth opportunities using SQL, Python, and other tools.

Work closely with Product Managers and UX to improve decision-making and product direction. Contribute to improving self-serve, documentation, data definitions, event coverage, and the overall usability of the data layer. Support and interpret A/B tests and other product experiments.

Build and improve reusable analysis workflows, AI-assisted tools, and team assets that reduce repeated work. Present findings clearly to stakeholders and influence roadmap and business decisions. This role emphasizes hands-on data work with modern tools including AI to increase impact.

Requirements

Proven experience in a data, product, analytics, engineering or similar role
Strong SQL skills
Working knowledge of Python and comfort using it for analysis, automation, or data work
Familiarity with Git and comfort working with modern development / collaboration workflows
Strong analytical thinking and problem-solving skills
Experience turning data into insights and recommendations, not just outputs
Good understanding of product and online business metrics, including funnels, retention, cohorts, segmentation, and experimentation
Ability to work independently, take ownership, and drive work forward

Responsibilities

Own analytics for a product domain and develop deep understanding of its users, flows, KPIs, and business goals
Turn product and business questions into clear insights and actionable recommendations
Analyze funnels, cohorts, experiments, product behavior, and growth opportunities
Define, maintain, and challenge KPI logic and measurement frameworks
Work closely with Product Managers and UX to improve decision-making and product direction
Use SQL, Python, and other tools to answer high-value questions quickly and reliably
Build and improve reusable analysis workflows, AI-assisted tools, and team assets
Support and interpret A/B tests and other product experiments