Data Analyst

📍 Vilnius, Lithuania
📍 Kaunas, Lithuania

EUR 38,400-70,800 per year

MIDDLE SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

BI @ 6 Communication @ 6 Data Modeling @ 3 Data Science @ 1 Data Structures Data Visualization @ 6 E-commerce @ 1 Google Analytics @ 3 Looker @ 6 Machine Learning @ 1 Marketing @ 1 Power BI @ 6 Python @ 3 R @ 3 SQL @ 1 Tableau @ 6

Details

Saily is looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities. The role focuses on analyzing user behavior, identifying patterns across the customer lifecycle, and translating insights into actionable recommendations 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 providing visibility into customer behavior and product performance.
Conduct deep-dive analyses of 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, and time series analysis.
Deliver clear and compelling presentations of data-driven insights to cross-functional stakeholders.
Support the development and maintenance of scalable analysis capabilities, including user segmentation, attribution modeling, and funnel analysis.

Requirements

3+ years of experience in a data analyst role.
Solid understanding of and experience with SQL; Google BigQuery is an advantage.
Experience with 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 such as Looker, Tableau, Power BI, or equivalent.
Experience with Google Analytics.
Proven experience with data visualization and statistical analysis methods.
Strong communication skills, a proactive approach, analytical problem-solving abilities, and a collaborative mindset.
Experience in e-commerce, SaaS, telecommunications, or digital marketing environments is a plus.
Interest in or affinity for data science and machine learning is a plus.

Interview Process

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

Benefits

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 leave days.
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, mobility sessions, fitness guidance, and consultations.
Company workations abroad.
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 Cyber City headquarters, including silent rooms, gyms, a game room, a music room, and a coffee bar.