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Claude Opus 4.8

Business Intelligence Analyst III

Published 2025-06-01
Updated at 2026-06-19
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Location

Remote

About Us

At Atomeocean, we empower jobseekers through innovative technology and a supportive community. Our platform connects individuals with resources to transform their career journeys. We are now seeking a data-driven Business Intelligence Analyst to turn complex data into actionable insights that enhance user experiences and drive strategic decisions.

Job Description

Join our dynamic team to design and implement data solutions that shape our platform’s future. You will collaborate across departments to uncover trends, build intuitive dashboards, and influence data-informed strategies that directly impact jobseekers’ success.

Responsibilities

  • Develop and maintain scalable BI solutions (dashboards, reports, ETL pipelines).
  • Analyze user behavior, platform performance, and business metrics to identify opportunities.
  • Collaborate with product/engineering teams to define data requirements and KPIs.
  • Transform raw data into clear visualizations using tools like Tableau, Power BI, or Looker.
  • Conduct deep-dive analyses to support strategic decisions (e.g., user engagement, feature ROI).
  • Ensure data accuracy and governance across reporting systems.
  • Communicate insights to stakeholders through compelling storytelling.
  • Optimize data workflows and advocate for best practices in BI.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
  • More than two years of professional experience in BI, data analysis, or similar roles.
  • Technical Expertise:
    • Proficiency in SQL and experience with cloud data warehouses (e.g., BigQuery, Snowflake).
    • Advanced skills in data visualization tools (Tableau/Power BI/Looker).
    • Experience with Python/R for data manipulation and analysis.
    • Understanding of ETL processes and data modeling.
  • Strong analytical mindset with ability to translate data into business recommendations.
  • Knowledge of statistical methods (e.g., regression, cohort analysis).
  • Excellent communication skills in both Mandarin and English (cross-team collaboration essential).

Preferred Skills

  • Experience with dbt, Airflow, or machine learning concepts.

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: Business Intelligence Analysts (O*NET-SOC 15-2051.01), Job Zone 4 — experience range over 2 and up to 4 years; usual education: Bachelor's degree.

Compared with the Level I posting, this posting adds two minimum requirements:

  • Experience (Step 2): more than two years of professional BI experience falls in the low end of the Job Zone 4 range (over 2 and up to 4 years), adding +1.
  • Special skills (Step 4): Mandarin-English bilingual communication is a foreign-language requirement, generally treated as a special skill, adding +1.
Worksheet stepLevel I postingThis postingPoints
Step 2 ExperienceNo prior professional experience requiredMore than two years — low end of the Job Zone 4 range+1
Step 3 EducationBachelor's degreeBachelor's degree+0
Step 4 Special SkillsMandarin preferred onlyMandarin and English required as a minimum qualification — foreign-language special skill+1
Step 5 Supervisory DutiesNoneNone+0

Starting at Level I (1) + 2 points = Level III.

Additional Information

  • Competitive compensation + performance bonuses.
  • Remote flexibility & asynchronous work culture.
  • Professional development stipend for courses/certifications.
  • Inclusive team passionate about social impact.

Apply Now

If you thrive on transforming data into stories that drive change, share your resume and a portfolio showcasing your BI projects with us!

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