Lead Retention Data Analyst

Description

The world’s most advanced VPN, and a whole lot more.

This role combines hands-on analytics with people leadership. You’ll own retention data across our subscription business and shape how the company understands why users renew, engage, and churn.

Our analysts work with SQL, BigQuery, dbt, Looker, and other modern tools to turn user data into actionable insights, dashboards, and predictive models.

Your goal is to make retention data actionable across the company, unlock new models and analytical approaches, and drive improvements in retention rates and user engagement.

Key qualities and behaviors of a successful leader at the company

Main Responsibilities

Own the retention analytics strategy end-to-end, connecting user behavior, lifecycle impact, engagement drivers, and business outcomes into a single, decision-ready framework;

Lead, mentor, and develop a team of analysts, balancing hands-on work with setting priorities and growing the team’s capabilities;

Support stakeholders across the company with analysis, dashboards, and reporting;

Develop and review data models in dbt, dashboards in Looker, and analyses using SQL, BigQuery, and other tools;

Analyze user behavior and build new models (churn prediction, cohort analysis, engagement scoring, LTV) that translate into actionable insights;

Define, standardize, and monitor retention KPIs and metrics, embedding analytics into the decision-making process.

Core Requirements

4+ years of experience in data analytics and business insights, ideally with a focus on retention, product, or user analytics;

Strong SQL and BigQuery skills, with experience in dbt and Looker (or similar BI tools);

Experience mentoring or leading analysts;

Proven ability to translate business needs into actionable insights;

Strong communication skills and the ability to influence stakeholders.

Requirements

• Experience in SaaS, subscription-based businesses, tech, or cybersecurity;
• Familiarity with experimentation practices and attribution models;
• Understanding of how AI and LLMs are shaping analytical practices;
• Knowledge of lifecycle or CRM platforms.

Benefits

• 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.
• 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 privacy@nordaccount.com . Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com .