Data Analyst | Mid-Senior | Saily

Nord Security; Polska; Remote; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Mentorship

Extra vacation days

Private health insurance

Mindfulness trainings

In-house gym access

Workation trips

Work from anywhere

Job summary

Nord Security is seeking a data-driven analyst to transform complex product and customer data into actionable insights for product and marketing teams. You will build dashboards, analyze cohorts, and present findings to stakeholders across multiple countries, including Lithuania, Poland, and beyond.

The role emphasizes KPI tracking, automated reporting, and scalable analytics with tools like BigQuery and Looker or Power BI. A strong curiosity and collaboration mindset are essential for success.

Qualifications

• 3+ years of experience as a data analyst.
• Strong SQL skills, BigQuery preferred, and Python or R.
• Experience with data visualization tools and GA.

Responsibilities

• Define, track, and optimize KPIs for product and marketing teams.
• Analyze users and products to find new opportunities.
• Develop and maintain automated reports and dashboards.
• Conduct deep-dive analyses on cohorts, segmentation, and touchpoints.
• Build and maintain data structures, reporting, and visualization.
• Present data-driven insights to cross-functional stakeholders.
• Support scalable analysis like segmentation, attribution, and funnels.

Skills

SQL

Python

R

BigQuery

Data visualization

Google Analytics

Cohort analysis

E-commerce/SaaS experience

Tools

Looker

Tableau

Power BI

Google Analytics

Google BigQuery

Job description

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.

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)

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.