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Remote Data & Analytics Jobs Paying USD, Open to Indonesia

Data engineers, analysts, and scientists from Indonesia build pipelines for global commerce and fintech. SQL fluency table-stakes; Python preferred. Median mid-level offer: $5,200/mo.

Curated for Indonesian professionals

USD-paying remote data & analytics roles for Indonesian professionals. Currently 131 active positions across data engineer, analytics engineer, data analyst, BI engineer, data scientist, and analytics lead. Sources: eight global remote platforms. Every listing is pre-filtered — no US/EU work-permit requirement, fully remote, and Indonesia-based candidates are accepted. Dominant stack: advanced SQL, Python/pandas, dbt, Snowflake/BigQuery/Redshift, Airflow/Dagster/Prefect, Looker/Metabase/Mode, and one tier-1 BI tool. Dimensional modeling skill + business framing drive comp tier. Salary bands: $2,500–$5,000/month for junior data analyst, $5,000–$10,000 for mid/senior analytics & data engineer, $10,000–$18,000 for staff/lead, and $18,000–$25,000+ for principal data engineer or head of data. Apply directly to the employer via the link on each listing.

Coupa logo

Instructional Designer - 11569

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Coupaworldwidefull time
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GIC Private Limited logo

Associate/AVP, Quantitative Strategist, Private Equity - GIC Private Limited

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GIC Private Limitedworldwidefull time
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Renaissance logo

Data Analyst I

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Renaissanceworldwidefull time
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The Careside logo

Inside Sales Team Leader

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The Caresideworldwidefull time
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Salesforce logo

Principal Architect

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Salesforceworldwidefull time
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Trinca logo

Senior Data Engineering

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Trincaworldwidefull time
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Twine logo

Junior Illustrator

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Twineworldwidefull time$XX,XXX
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CrowdStrike logo

Data Engineer, Go to Market (Remote)

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CrowdStrikeworldwidefull time
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Stio logo

Data Analyst

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Stioworldwidefull time$XX,XXX
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Atlassian logo

Senior Commercial Counsel, UKI

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Atlassianworldwidefull time
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Coupa logo

Sr. Alliances Director - 11431

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Coupaworldwidefull time
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Customer Service Rep I

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SanMar-Internalworldwidefull time$XX,XXX
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Stripe logo

Risk Operations Analyst

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Stripeworldwidefull time
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Equinix, Inc logo

AI/ML Engineer

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Equinix, Incworldwidefull time
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Swift Media Entertainment logo

Senior Data Analyst & Engineer for Gaming Products

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Swift Media Entertainmentworldwidefreelance$XX,XXX
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Equinix, Inc logo

Senior Staff - GCP Data Engineer

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Equinix, Incworldwidefull time
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Equinix, Inc logo

Staff - GCP Data Engineer

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Equinix, Incworldwidefull time
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Southern New Hampshire University logo

Online Adjuncts- Epidemiological and Biostatistical Applications in Healthcare

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Southern New Hampshire Universityworldwidepart time
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STEM Sync AI logo

Molecular Biology Scientist

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STEM Sync AIworldwidefull time$XX,XXX
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Allstate logo

AI Governance Lead Consultant

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Allstateworldwidefull time
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Showing 1–20 of 131 jobs

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Frequently asked questions about data & analytics remote jobs

What is the difference between data analyst, analytics engineer, and data engineer?⌄

Data analyst: query + dashboard + insight communication. Analytics engineer: model data with dbt and maintain a semantic layer for self-serve. Data engineer: build ingestion, transformation, and infra (Airflow, Snowflake). DE > AE > DA in pay typically.

What are realistic data engineer salary ranges remote from Indonesia?⌄

Junior: $3,000–$5,000/month. Mid: $5,500–$9,000/month. Senior: $9,000–$15,000/month. Staff/principal: $15,000–$25,000+/month. Higher at fintech/AI startups due to data volume and complexity.

Is SQL alone enough for a remote data analyst role?⌄

Advanced SQL plus one BI tool (Looker/Metabase/Mode) is enough for junior. Mid-senior also needs Python (pandas), dbt exposure, and stakeholder communication. Bonus: event-tracking implementation experience.

Which stack dominates remote data listings in 2026?⌄

Snowflake or BigQuery (warehouse), dbt (transformation), Airflow or Dagster (orchestration), Fivetran/Airbyte (ingestion), Looker or Metabase (BI), and PostHog/Amplitude (product analytics). SQL + Python required.

Does BI experience at an Indonesian unicorn count for US roles?⌄

Yes, if the product runs at scale (>5TB warehouse or >100 daily active dashboard users). Common gap: dbt and analytics-engineering practice. Bridge with a dbt side project on a public dataset.

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