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Data Analyst ​

Location: Remote ​

About Us ​

At Atomeocean, we empower jobseekers through data-driven innovation. Our platform connects talent with opportunity, and we’re seeking a curious Data Analyst to transform raw data into actionable insights that directly improve user experiences and guide strategic growth.

Job Description ​

You’ll be the voice of data in our product evolution. Collaborate with product, engineering, and marketing teams to uncover user behavior patterns, measure platform performance, and drive decisions that help jobseekers succeed.

Responsibilities ​

  • Analyze user engagement, conversion funnels, and A/B test results to optimize platform features.
  • Build and maintain automated dashboards (Tableau/Power BI) for real-time KPI monitoring.
  • Write complex SQL queries to extract and transform data from relational databases.
  • Perform ad-hoc analyses to answer critical business questions (e.g., "Which features boost user retention?").
  • Clean and validate data to ensure reporting accuracy.
  • Partner with engineers to define data tracking requirements for new features.
  • Present findings to stakeholders through clear visualizations and actionable recommendations.
  • Identify trends and anomalies to proactively surface growth opportunities or risks.

Qualifications ​

  • Education: Bachelor’s degree in Data Science, Statistics, Economics, or a quantitative field.
  • Experience: 2+ years in data analysis, preferably in user-centric platforms (e.g., SaaS, e-commerce).
  • Technical Skills:
    • SQL mastery (window functions, complex joins).
    • Proficiency in Python/R for data manipulation (Pandas, NumPy) and basic statistical analysis.
    • Experience with BI tools (Tableau, Power BI, or Looker).
    • Understanding of experimental design (A/B testing principles).
  • Analytical Mindset:
    • Ability to translate vague questions into structured analysis.
    • Keen eye for spotting data inconsistencies.
  • Communication:
    • Fluency in English and Mandarin (to collaborate with global teams).
    • Skill in simplifying technical insights for non-technical audiences.
  • Bonus Qualifications:
    • Experience with big data tools (Spark, BigQuery).
    • Knowledge of web analytics (Google Analytics, Mixpanel).
    • Basic machine learning concepts (regression, clustering).

Additional Information ​

  • 💻 Fully remote – Work from anywhere with flexible hours.
  • 📈 Impact-Driven – Your insights directly shape a product helping millions find jobs.
  • 🌱 Growth Support – Annual stipend for courses/conferences (e.g., Coursera, DataCamp).
  • ⚕️ Comprehensive Benefits – Health insurance, paid leave, and performance bonuses.

Ready to decode data into human impact?
Submit your resume and a case study showcasing how your analysis drove business decisions!