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Data Analyst

LithuaniaLithuania·VilniusFull Timemid
Data AnalystData
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Quick Summary

Overview

A people-powered network where everyday users share unused bandwidth in exchange for compensation. It's built around consumers rather than businesses, shaping how it operates from the ground up.

Technical Tools
Data AnalystData
A people-powered network where everyday users share unused bandwidth in exchange for compensation. It's built around consumers rather than businesses, shaping how it operates from the ground up.
Inside, that same directness shows up as a culture of speed and real ownership, where small teams take ideas from concept to launch themselves.

The team waiting for you: 

As a Data Analyst, you will translate complex user behaviors into actionable strategies by building automated flows and comprehensive reporting dashboards. As our interconnected ecosystem scales its responsible access to web data, we need proactive minds to analyze data pipelines and drive operational efficiency. The underlying challenge is maintaining the high quality of our network by combating fraud while optimizing our marketing funnels to fuel continuous growth.
  • Identify key metrics and create reports and dashboards to track them.

  • Monitor and analyze our metrics and user behaviour to identify cases of fraud or suspicious behaviour and create automated flows to flag and ban such users.

  • Analyze marketing funnels and create the data pipelines to ingest and enrich marketing data.

  • Automate processes and flows to reduce manual work and improve efficiency.

  • Create well-defined hypotheses and analyze users’ tendencies to better understand our users and find improvement opportunities.

  • Perform ad-hoc analyses.

  • 2-4 years of experience in an analytical role.

  • Good knowledge of SQL.

  • Experience working with data modelling (ideally with dbt, but using SQL works as well).

  • Experience working with some of the various data analysis and visualization tools (we use Power BI, but Looker, Tableau, Qlik, Grafana or any other tool works as well).

  • Ability to raise and evaluate hypotheses about business performance.

  • Experience with automating processes.

  • Experience with identifying and combating fraud.

  • Gross salary: 3800-5000 EUR/month, plus team and individual performance bonuses. Keep in mind that we are open to discuss a different salary based on your skills and competencies
  • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing
  • Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app
  • Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together
  • Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://source.ai/career/blog/benefits
  • Honeygain is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.
     
    Up for the challenge? Let’s talk!

    Location & Eligibility

    Where is the job
    Vilnius, Lithuania
    Hybrid, some on-site time required
    Who can apply
    LT

    About this job

    Who can apply
    Lithuania
    Posted
    58 days ago
    Employer
    has 63 open jobs on Jobera in 4 countries.

    Listing Details

    Posted
    September 4, 2026
    First seen
    September 4, 2026
    Last seen
    October 13, 2026

    Posting Health

    Days active
    58
    Repost count
    1
    Trust Level
    32%
    Scored at
    November 2, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust

    Oxylabs is a premier web data gathering company, offering extensive proxy solutions for accurate and efficient data extraction.

    Employees
    201-500
    Founded
    2015
    View company profile
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    Data Analyst