Data Analyst – Mid-Senior

Nord Security

. Define, track, and optimize key metrics and KPIs for product and marketing teams .

Posted 11/9/2026full-timeVilnius • LithuaniaSenior💰 €3,200 - €5,900 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including machine learning applications for customer data, A/B testing design, and statistical analysis. Proficient in building data structures and visualizing insights for cross-functional teams.

Highest-signal resume keywords

Data AnalysisMachine LearningSQLPythonData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningA/B TestingStatistical AnalysisRegression AnalysisTime Series AnalysisCustomer SegmentationChurn PredictionAttribution ModelingFunnel Analysis

Soft Skills

Clear CommunicationProactive Working StyleOwnership

Tools & Technologies

SQLGoogle BigQueryPythonPandasScikit-LearnLookerTableauPower BIGoogle Analytics

Industry Keywords

E-CommerceSaaSTelecommunicationsDigital MarketingStartup Environment

Tech Stack

Tools & technologies

BigQueryPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Define, track, and optimize key metrics and KPIs for product and marketing teams
Analyze users and products to identify 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 touchpoints
Build, support, and replicate data structures, including database structures, table building, reporting, data visualization, regression analysis, and time series
Present clear, compelling data-driven insights to cross-functional stakeholders
Support scalable analysis through user segmentation, attribution modeling, funnel analysis, and related development and maintenance

Requirements

What you’ll need

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 LTV forecasting
Preferably, experience in customer lifecycle, retention, cohort, churn, and LTV analysis
Proven experience building and evaluating rule-based and model-based customer segmentations, including clustering
Experience designing and analysing A/B tests, including sample size calculation and significance testing
Solid SQL skills; Google BigQuery is an advantage
Python experience for modelling, including pandas and scikit-learn or similar
Strong statistical foundation, including regression, hypothesis testing, and time series analysis
Experience with data visualisation tools; Looker preferred, with Tableau, Power BI, or equivalent also acceptable
Ability to present insights clearly to non-technical stakeholders
Independent and proactive working style; ability to take ownership, find information independently, and work comfortably with ambiguity and frequent product changes
Experience with Google Analytics is nice to have
Background in e-commerce, SaaS, telecommunications, or digital marketing is nice to have
Experience in a startup or fast-paced product environment is nice to have
Based in Vilnius or Kaunas and able to work from there
Able to work from the office 3 times per week

Benefits

Comp & perks

Training, mentorship, and room to grow
Extra vacation days, sick days, and time off when life calls
Private health insurance in Lithuania and Poland, fully covered
Free subscriptions to Calm, Headspace, and Mindletic
Resilience and mindfulness trainings
In-house gyms, sport cards, online workouts, and personal guidance
Company-wide workation trip abroad
Work from wherever keeps you in the zone
Gifts for birthdays, weddings, and new family members
Children’s summer camps and schedule flexibility
Team building and company events
Access to Vilnius HQ amenities including coffee bar, open gyms, kids’ room, music room, and massage chairs