Data Analyst · Mid-Senior · Saily

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We’re looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities. You’ll be comfortable digging deep into user behavior, spotting patterns across the customer lifecycle, and translating them into actionable insights for product and marketing teams. Strong analytical skills are key, but so is curiosity: we want someone who doesn’t just report what happened, but asks why it happened, what it means for the business, and what we should do next.

Team composition: 4 Data Analysts, 2 in Vilnius, 1 in Kaunas, one in Poland.

Interview process: 1st interview with a Talent Partner (45 minutes) -> Test task (several hours of work - with 1 week deadline) -> technical interview (60 min) -> final (45-60 min)

• Define, track, and optimize key metrics and KPIs for product and marketing teams.
• Analyze users and products to find new business opportunities and areas for improvement.
• Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance.
• Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities.
• Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.).
• Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders.
• Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis).

• 3+ years of experience as a Data Analyst, with hands-on experience applying machine learning to customer data, such as churn or propensity prediction, model-based segmentation, or LTV forecasting.
• Preferably, experience in customer analysis, including lifecycle, retention, cohort, churn, and LTV analysis.
• Proven experience building and evaluating customer segmentations, both rule-based and model-based (e.g. clustering), and turning insights into actionable recommendations for Product and Marketing teams.
• Experience designing and analysing experiments (A/B tests), including sample size calculation, significance testing, and translating results into clear recommendations.
• Solid SQL skills (Google BigQuery is an advantage) and Python experience for modelling (pandas, scikit-learn, or similar).
• Strong statistical foundation, including regression, hypothesis testing, and time series analysis.
• Experience with data visualisation tools (Looker preferred; Tableau, Power BI, or equivalent also fine) and the ability to present insights clearly to non-technical stakeholders.
• An independent and proactive working style. You take ownership, find information yourself, and are comfortable with ambiguity and frequent product changes.

Nice to have

• Experience with Google Analytics.
• Background in e-commerce, SaaS, telecommunications, or digital marketing.
• Experience in a startup or fast-paced product environment.

• Extensive online and in-person training programs, access to platforms like Coursera and Skillshare, a mentorship program, and internal career moves when you’re ready for something new — your development has no ceiling here.
• Extra vacation days that grow with your time here, plus additional days off for sick leave, special occasions, and parenting.
• Premium private health insurance so you have peace of mind and fast access to care whenever you need it. Available in Lithuania and Poland.
• Free subscriptions to top-rated Calm and Headspace apps, offer resilience and mindfulness trainings, and run dedicated mental health events.
• In-house gyms, Multisport and Urban Sport cards, and online workouts. Physical Well-Being experts provide group mobility sessions, fitness guidance, and one-on-one consultations.
• Company-wide workation abroad with workshops, activities, concerts, and real time together.
• Ability to work from anywhere to spark new thinking and creativity.
• Special gifts to celebrate birthdays, work anniversaries, weddings, new family members.
• Summer camps for children and flexibility to support parenting.
• Team buildings, year-round company events, and iconic summer and winter celebrations.
• Vilnius HQ with silent room, open gyms, game room, music room, coffee bar, and modern workspace.