Data Analyst

Details

At Saily, the Data Analyst will turn complex customer and product data into clear business opportunities by analyzing user behavior, identifying lifecycle patterns, and translating findings into actionable insights for Product and Marketing teams.

Responsibilities

• Define, track, and optimize key metrics and KPIs for Product and Marketing teams.
• Analyze users and products to identify new business opportunities and areas for improvement.
• Develop and maintain automated reports and dashboards covering customer behavior and product performance.
• Conduct deep-dive analyses of customer cohorts, segmentation strategies, and customer touchpoints.
• Build, support, and replicate data structures, including database structures, table building, reporting, data visualization, regression analysis, and time series analysis.
• Present data-driven insights clearly to cross-functional stakeholders.
• Support scalable analysis capabilities, including user segmentation, attribution modeling, and funnel analysis.

Requirements

• 3+ years of experience as a Data Analyst.
• Hands-on experience applying machine learning to customer data, including churn or propensity prediction, model-based segmentation, or LTV forecasting.
• Preferably, experience with customer lifecycle, retention, cohort, churn, and LTV analysis.
• Experience building and evaluating rule-based and model-based customer segmentations, such as clustering, and translating insights into recommendations for Product and Marketing teams.
• Experience designing and analyzing A/B tests, including sample size calculation, significance testing, and communicating recommendations.
• Solid SQL skills; Google BigQuery experience is an advantage.
• Python experience for modeling, including pandas, scikit-learn, or similar tools.
• Strong statistical foundation, including regression, hypothesis testing, and time series analysis.
• Experience with data visualization tools. Looker is preferred; Tableau, Power BI, or equivalent tools are also suitable.
• Ability to present insights clearly to non-technical stakeholders.
• Independent and proactive working style, with ownership, curiosity, and comfort 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.

Work Arrangement

• Hybrid role based in Vilnius or Kaunas, Lithuania.
• The company also offers the option to work from different locations when needed.

Benefits

• Online and in-person training, access to Coursera and Skillshare, mentorship, and internal career opportunities.
• Extra vacation days and additional leave for sick leave, special occasions, and parenting.
• Premium private health insurance in Lithuania and Poland.
• Calm and Headspace subscriptions, 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, team buildings, company events, and milestone gifts.
• Summer camps for children and flexible arrangements for parents.
• Access to the Vilnius headquarters, including silent rooms, gyms, a game room, music room, and coffee bar.

Interview Process

1. Talent Partner interview lasting approximately 45 minutes.
2. Test task with a one-week deadline.
3. Technical interview lasting approximately 60 minutes.
4. Final interview lasting 45–60 minutes.