Staff Analytics Engineer

Details

Saily is looking for a Staff Analytics Engineer to take ownership of how product data is structured, modeled, and used. The role involves turning raw data into clear, reliable models that can be understood and used by the Data Analytics team and AI. You will be a founding member of Saily’s Data team and lead the development of the data vertical.

Responsibilities

• 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 people and AI.
• Own and evolve analytics infrastructure and tooling.
• Establish standards for data quality, documentation, naming, and governance.
• Work with Product, Engineering, Marketing, and other teams to understand data needs and ensure models reflect how Saily operates.
• Help shape how Data Analytics operates as Saily grows.
• Make technical decisions while remaining hands-on.
• Potentially lead or technically guide Data Analysts and Analytics Engineers.

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.
• Strong product and business thinking, including an understanding of what data means and how it can be used.
• An entrepreneurial mindset and the ability to think about the product holistically.
• Confidence working across teams, managing stakeholders, and translating product and business needs into data solutions.

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, sick leave, special-occasion leave, and parenting leave.
• Premium private health insurance in Lithuania and Poland.
• Subscriptions to Calm, Headspace, and Mindletic, plus resilience and mindfulness training and mental health events.
• In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
• Company workations abroad.
• The ability to work from anywhere when needed.
• Gifts for birthdays, work anniversaries, weddings, and new family members.
• Summer camps for children and flexible parenting support.
• 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.