Product Analyst | Mid - Senior | Data Collection team

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Product Analyst | Mid - Senior | Data Collection team Vilnius, Lithuania, Kaunas The world's most advanced VPN, and a whole lot more. If you're a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet-tools that put privacy, security, and control back in people's hands. Your impact? Helping millions take back control of their online security, privacy, and data. Main responsibilities - You will partner with a group of Product Managers to work together to improve customer experience and drive business growth; - Provide valuable insights and analysis based on field data and research, advocate data-driven decision-making from product discovery stage to post-release hyper-care; - Analyze core and experimental data including business metrics and micro-interactions looking for opportunities and risks; draw conclusions and suggestions; assist in prioritizing ideas and hypotheses; - Build advanced reusable dashboards and custom reports for key product metrics and experiments. Present analysis reports to the team and stakeholders; - Collaborate with data and product teams on best practices and professional growth. Core requirements - Proven experience in a Data Analyst role; - Solid understanding and experience of SQL (Google BigQuery as an advantage); - Solid experience in analytical tools (eg. Looker, Tableau); - Proven experience in eCommerce, conversion optimization, and web applications; - Deep knowledge of data models, analysis methods, and best practices; - Team-spirited, collaborative, curious, proactive, and able to work in a fast-paced environment; - Self-motivated and self-managing, with

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