Staff Analytics Engineer

Details

Saily is looking for a Staff Analytics Engineer to take ownership of how product data is structured, modeled, and used. You will become a founding member of Saily’s Data team and lead the development of the data vertical, creating reliable models that can be understood and used by both the Data Analytics team and AI systems.

Responsibilities

• Become a founding member of Saily’s Data team and take the lead in building the entire data vertical.
• Own data modeling and schema design across Saily.
• Transform raw, unmodeled data into clean, scalable data models.
• Build a clear semantic layer with consistent entities, relationships, metrics, and definitions.
• Make data easy to understand and use for both people and AI.
• Own and evolve the analytics infrastructure and tooling.
• Set standards for data quality, documentation, naming, and governance.
• Work with Product, Engineering, Marketing, and other teams to understand their data needs and ensure models reflect how Saily operates.
• Help shape how Data Analytics operates as Saily grows.

Requirements

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar data-focused engineering role.
• Strong hands-on experience with data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships.
• Excellent SQL skills and experience transforming raw data into clean, scalable analytical models.
• Experience owning or shaping analytics architecture and making technical decisions while remaining hands-on.
• Strong product and business thinking, with the ability to understand how data can be used, not just how it is stored.
• An entrepreneurial mindset and the ability to consider products holistically beyond the technical aspects of a problem.
• Confidence working across teams, managing stakeholders, and translating product and business needs into data solutions.
• Experience leading or technically guiding Data Analysts or Analytics Engineers is a plus.

Tools and Technologies

• Coding Agents
• SQL
• dbt
• BigQuery
• ClickHouse
• Looker
• Internal analytics tooling
• Airflow

Benefits

• Online and in-person training, access to Coursera and Skillshare, mentorship, and internal career opportunities.
• Extra vacation days that increase with tenure, plus additional days off for sick leave, special occasions, and parenting.
• Premium private health insurance available in Lithuania and Poland.
• Subscriptions to Calm, Headspace, and Mindletic, as well as resilience and mindfulness training and mental health events.
• In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being consultations.
• Company workations abroad.
• The option to work from different locations.
• 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 Saily’s Vilnius headquarters, including silent rooms, gyms, a game room, music room, and coffee bar.

The recruitment process may include automated application evaluation tools. Human recruiters ultimately review applications.