Data Analyst

📍 Vilnius, Lithuania

EUR 38,400-70,800 per year

MIDDLE SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI BI @ 6 CRM @ 3 Communication @ 6 Data Visualization @ 6 Google Analytics @ 5 Looker @ 6 Marketing @ 3 Power BI @ 6 Python @ 5 SQL @ 1 Tableau @ 6 dbt

Details

A data analyst role focused on marketing analytics, user and marketing data, scalable data foundations, attribution modeling, funnel analysis, and semantic layers supporting internal tools and AI-powered workflows.

Responsibilities

Define, track, and optimize key marketing metrics and KPIs.
Support marketing, legal, and finance teams with ad hoc analyses by gathering and integrating data from multiple sources.
Build and maintain dbt models.
Conduct deep-dive analyses of user and marketing data to identify business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards.
Present clear, compelling, data-driven insights to cross-functional stakeholders.
Support the development and maintenance of data foundations for scalable analysis, including attribution modeling and funnel analysis.
Develop and maintain the semantic layer to enable accurate and reliable answers to data questions across internal tools and AI-powered workflows.

Requirements

3+ years of experience in a data analyst role, ideally in a SaaS or digital product environment.
Solid proficiency in SQL; experience with Google BigQuery is a strong plus.
Proficiency in Python for data manipulation and analysis.
Hands-on experience with CRM or marketing datasets, including channel attribution, user lifecycle, campaign tracking, and customer behavior.
Strong experience with data visualization tools such as Looker, Tableau, Power BI, or equivalent.
Proficiency in Google Analytics or other web and app analytics platforms.
Strong statistical foundation, including regression, time series analysis, and hypothesis testing.
Independent and proactive working style, with the ability to take ownership, seek information, and work comfortably with ambiguity in a fast-changing product environment.
Strong communication skills, a problem-solving mindset, and the ability to translate data into actionable insights for diverse audiences.

Benefits

Online and in-person training, access to Coursera and Skillshare, mentorship, and internal career opportunities.
Extra vacation days, additional sick leave, special-occasion and parenting days off.
Premium private health insurance in Lithuania and Poland.
Calm and Headspace subscriptions, resilience and mindfulness training, and mental health events.
In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
Company workation opportunities.
The ability to work from different locations when needed.
Gifts for birthdays, work anniversaries, weddings, and new family members.
Summer camps for children and flexible working arrangements for parents.
Team-building activities and company events.
Access to the Vilnius headquarters, including silent rooms, gyms, a game room, a music room, and a coffee bar.