Data Analyst

Details

Saily is removing the hassle from getting secure data plans while traveling, offering fast and secure mobile data in more than 200 countries. The Data Analyst will turn complex customer and product data into clear business opportunities and 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 that provide visibility into customer behavior and product performance.
• Conduct deep-dive analyses of customer cohorts, segmentation strategies, and customer touchpoints to uncover growth and optimization opportunities.
• Build, support, and replicate data structures, including database structures, table building, reporting, data visualization, regression analysis, and time series analysis.
• Deliver clear and compelling presentations of data-driven insights to cross-functional stakeholders.
• Support development and maintenance activities that enable scalable analysis, 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, such as churn or propensity prediction, model-based segmentation, or lifetime value forecasting.
• Preferably, experience with customer lifecycle, retention, cohort, churn, and LTV analysis.
• Proven experience building and evaluating customer segmentations, including rule-based and model-based approaches such as clustering, and turning insights into actionable recommendations for Product and Marketing teams.
• Experience designing and analyzing A/B tests, including sample size calculation, significance testing, and translating results into clear 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 the ability to take ownership, find information independently, and work comfortably 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.

Interview Process

1. Interview with a Talent Partner — 45 minutes.
2. Test task — several hours of work with a one-week deadline.
3. Technical interview — 60 minutes.
4. Final interview — 45–60 minutes.

Benefits

• Extensive online and in-person training programs, access to Coursera and Skillshare, mentorship, and internal career opportunities.
• Extra vacation days, additional sick leave, special-occasion and parenting days off.
• Premium private health insurance available in Lithuania and Poland.
• Free Calm and Headspace subscriptions, resilience and mindfulness training, and mental health events.
• In-house gyms, Multisport and Urban Sport cards, online workouts, group mobility sessions, fitness guidance, and individual consultations.
• Company workation opportunities.
• Ability 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 the Vilnius headquarters, including silent rooms, gyms, a game room, a music room, and a coffee bar.

Salary

PLN 17,600–25,100 gross per month.