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Data Analyst
Oxylabs.ioData Analyst analyzing metrics, user behavior, fraud, and marketing funnels. Building dashboards, data pipelines, and automated flows for Oxylabs’ proxy and web-scraping products.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, reporting, and visualization, with a strong focus on SQL and data modeling. Capable of automating processes to enhance efficiency and identifying user behavior trends to combat fraud.
Highest-signal resume keywords
SQLData AnalysisData Visualization ToolsData ModelingFraud Detection
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLData ModelingAutomating ProcessesCreating ReportsCreating DashboardsAnalyzing Marketing FunnelsCreating Data PipelinesEvaluating HypothesesAd-Hoc Analysis
Soft Skills
Problem SolvingAnalytical Thinking
Tools & Technologies
Power BILookerTableauQlikGrafanaDbt
Industry Keywords
User Behavior AnalysisFraud DetectionMarketing DataData Infrastructure
Tech Stack
Tools & technologiesGrafanaSQLTableau
About the role
Key responsibilities & impact- Identify key metrics and create reports and dashboards to track them
- Monitor and analyze metrics and user behaviour to identify fraud or suspicious behaviour
- Create automated flows to flag and ban suspicious users
- Analyze marketing funnels
- Create data pipelines to ingest and enrich marketing data
- Automate processes and flows to reduce manual work and improve efficiency
- Create and evaluate hypotheses about user tendencies and business performance
- Find opportunities for improvement
- Perform ad-hoc analyses
- Develop complex products with high coding standards
- Maintain infrastructure and handle petabytes of data
- Solve daily analytical and technical challenges
Requirements
What you’ll need- 2–4 years of experience in an analytical role
- Good knowledge of SQL
- Experience working with data modelling, ideally with dbt; SQL is also acceptable
- Experience with data analysis and visualization tools such as Power BI, Looker, Tableau, Qlik, or Grafana
- Ability to raise and evaluate hypotheses about business performance
- Experience with automating processes (nice to have)
- Experience with identifying and combating fraud (nice to have)
Benefits
Comp & perks- Team and individual performance bonuses
- 40+ internal learning options
- External conferences
- Mentorship
- Year-round knowledge-sharing
- Private health insurance
- Psychotherapy
- On-site well-being consultants
- 24/7 gym access
- Wellness app
- Team events
- Overseas workation
- Quarterly team-building budgets
- Bonus vacation days
- Paid life-moment days off
- Barista coffee
- All necessary work tools