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Vilnius / Kaunas / Warsaw

Senior Data Analyst (Incogni)

Incogni is at the forefront of consumer privacy-tech, making it easy for people to remove their personal information from data brokers. Since launching, we’ve quickly become the most popular data removal service among consumers, and our international team continues to grow across LT, PL, DE, and the US.
As we scale, data is at the heart of our decision-making and innovation. Our Data team empowers colleagues across the company to monitor progress, plan effectively, and achieve ambitious goals by building robust ETLs, clear dashboards, and meaningful analytics. If you’re passionate about turning data into actionable insights and want to help drive our mission for stronger privacy, we’d love to meet you!

If you want to:

  • Build robust, end-to-end analytics solutions that empower stakeholders to make smarter, faster decisions;
  • Design clean, scalable data models and reporting layers to ensure reliable reporting;
  • Push the boundaries of how data is used - challenge assumptions, uncover opportunities, and drive continuous improvement;
  • Translate complex data into clear, actionable visuals and narratives;
  • Ensure that data products (dashboards, models) are consistent with current principles, guidelines, and standards;
  • Drill down into the data to find specific insights and recommendations for management and colleagues;
  • Advocate for data literacy and enablement, helping others to self-serve and interpret data confidently.

    • And you can check off:

  • Proven experience in an analytical role;
  • Advanced proficiency in SQL, with the ability to write performant and complex queries;
  • Expertise in creating compelling dashboards and visualizations using tools such as Tableau, Looker, Power BI, or similar;
  • Strong business acumen: ability to challenge vague requests, clarify impact, and guide stakeholders toward meaningful, data-driven decisions;
  • Excellent problem-solving and communication skills, with the ability to manage end-to-end projects;
  • Passion for data analysis, visualization, and technology;
  • Solid working knowledge of dbt (Data Build Tool) and/or Python is considered an advantage.

    • Here’s the deal:

  • Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
  • Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts, a physical coach and a gym to regular mental health checks;
  • Tools of your choice: choose technical equipment and the tools you need to do your best;
  • Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
  • Convenient commuting: traveling from point A to point B can be a pain. That’s why, depending on your unique circumstances, we compensate part of your public transport costs;
  • Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world;
  • Premium Surfshark accounts: for you, your family, and friends;
  • Gross salary: 4000 - 5200 Eur/month for the Lithuanian market. It may vary depending on your skills, experience, or location.

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