Data Analyst | Mid-Senior | Saily

AT SAILY, WE'RE REMOVING THE HASSLE FROM GETTING SECURE DATA PLANS WHILE TRAVELING.

No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet's #1 eSIM—built for explorers, powered by NordVPN.

• Your impact? Helping people stay securely connected, wherever they go.
• 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.

MAIN RESPONSIBILITIES

• 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).

CORE REQUIREMENTS

• 3+ years in a role as a data analyst;
• Solid understanding and experience of SQL (Google BigQuery as an advantage) and Python or R (for data modeling and general development);
• Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis.
• Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent).
• Strong communication skills, a proactive approach, analytical problem-solving abilities, and a collaborative mindset, being an effective and versatile team player;
• Experience with Google Analytics;
• Proven experience with various data visualization and statistical analysis methods;
• Experience in e-commerce, SaaS, telecommunications, or digital marketing environments is a plus;
• Data Science/ML interest/affinity would be a plus.

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.

• Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes.
• 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.
• By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes.
• As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role.
• This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at [email protected]. Should you prefer to opt out of the automated evaluation, please submit your application directly to [email protected].