Data Analyst II
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 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: No prior professional work experience required.
- Technical Skills:
- Familiarity with SQL (joins, aggregations).
- Familiarity with Python/R for data manipulation (Pandas, NumPy) and basic statistical analysis.
- Familiarity with BI tools (Tableau, Power BI, or Looker).
- Basic 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.
Preferred Skills
- Experience with big data tools (Spark, BigQuery).
- Knowledge of web analytics (Google Analytics, Mixpanel).
- Basic machine learning concepts (regression, clustering).
Preferred But Not Required
All preferred qualifications are optional and are not minimum requirements for the position.
These preferred skills do not increase the complexity of the offered position and do not elevate the wage level.
Wage Level Justification
This posting is classified using the worksheet method from the DOL's 2009 Prevailing Wage Determination Policy Guidance (see Wage Level Determination). Baseline occupation: Data Scientists (ONET-SOC 15-2051.00), the ONET classification covering Data Analyst roles; Job Zone 4 — experience range over 2 and up to 4 years; usual education: Bachelor's degree.
Compared with the Level I posting, the only added minimum requirement is Mandarin-English bilingual communication. Under Step 4, a language requirement other than English is generally treated as a special skill for all occupations — the guidance's own example scores a customer service position requiring Chinese-English bilingual skills at +1.
| Worksheet step | Level I posting | This posting | Points |
|---|---|---|---|
| Step 2 Experience | No prior professional experience required | No prior professional experience required | +0 |
| Step 3 Education | Bachelor's degree | Bachelor's degree | +0 |
| Step 4 Special Skills | Mandarin preferred only | Mandarin and English required as a minimum qualification — foreign-language special skill | +1 |
| Step 5 Supervisory Duties | None | None | +0 |
Starting at Level I (1) + 1 point = Level II.
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!