Staff Analytics Engineer
At Saily, we’re removing the hassle of staying connected while traveling - no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands of travelers browsing through Saily at any given moment.
About this role:
Saily is growing fast, and so is the amount of data behind the product. We’re looking for someone to take ownership of how that data is structured, modeled, and used.
The main challenge is simple: we have raw data, and we need to turn it into clear, reliable models that humans (i.e. Data Analytics team) and AI can actually understand and use.
What you’ll do
Become a founding member of Saily’s Data team and take the lead in building the entire vertical yourself.
Own data modeling and schema design across Saily.
Take raw, unmodelled data and turn it into clean, scalable data models.
Build a clear semantic layer with consistent entities, relationships, metrics, and definitions.
Make our data easy to understand and use - both for people and AI.
Own and evolve our analytics infrastructure and tooling.
Set standards around data quality, documentation, naming, and governance.
Work closely with Product, Engineering, Marketing and other teams to understand their data needs and make sure our models reflect how Saily actually works.
Help shape how Data Analytics operates as Saily grows.
Skills you’ll bring to the table
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 turning raw data into clean, scalable analytical models.
Experience owning or shaping analytics architecture and making technical decisions while staying hands-on.
Strong product and business thinking - you understand what the data means and how it can be used, not just how it's stored.
An entrepreneurial mindset - you look at the product holistically and think beyond the technical side of the problem.
Confidence working across teams, managing stakeholders, and translating product and business needs into data solutions.
Experience leading or technically guiding Data Analysts / Analytics Engineers is a plus.
Tools/technologies you’ll use
Coding Agents
SQL
dbt
BigQuery
Clickhouse
Looker
Internal tooling for analytics
Airflow
What We Offer
Sharpen your edge: training, mentorship, and room to grow - always.
Take the time you need: extra vacation days, sick days, and time off when life calls.
Get premium healthcare: private health insurance in Lithuania and Poland - fully covered.
Protect your peace: enjoy free subscriptions to Calm, Headspace, and Mindletic, and our own resilience and mindfulness trainings.
Own your fitness: in-house gyms, sport cards, online workouts, and personal guidance - on us.
Pack your bags for workation: experience our company-wide trip abroad to the fullest.
Work from anywhere: work from wherever keeps you in the zone.
Celebrate your milestones: birthdays, weddings, and new family members - all deserve a gift.
Parent with ease: children’s summer camps and flexibility around the schedule - because parenting never pauses.
Join the party: team building and company events people talk about for months.
Unlock Cyber City: coffee bar, open gyms, kids’ room, music room, massage chairs - our Vilnius HQ is yours to enjoy.
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We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance.
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