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Remote Data & Analytics Jobs Paying USD, Open Worldwide

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

Curated for remote professionals worldwide

USD-paying remote data & analytics roles for Indonesian professionals. Currently 211 active positions across data engineer, analytics engineer, data analyst, BI engineer, data scientist, and analytics lead. Sources: Himalayas, WeWorkRemotely, Jobicy, Working Nomads. 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. Apply directly to the employer via the link on each listing.

Active listings
484
Posted in last 7 days
93
Median stated pay (n=142)
$9,538/mo
Middle 50% of stated pay
$5,229–$14,658/mo

Source: listings currently active on Loker Dollar. Pay counts only employer-stated figures (annual USD midpoint ÷ 12); listings without stated pay are excluded, and pay figures are hidden when fewer than 8 listings state pay. Computed 2026-10-29.

AI exposure context

OBSERVED 484 active listings in our corpus for this category.

CITED Related occupation group ("Computer and Mathematical"): 34% of Claude.ai conversations / 46% of 1P API traffic (Nov 2025) (Claude.ai conversations and first-party API traffic, Nov 2025 snapshot).

Anthropic Economic Index, January 2026 report · as of · See source →

Open data & analytics roles

· via Himalayas
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Junior Software Engineer - Remote (Global), Full-Time

Mixrank · Remote · Open worldwide · Entry-level

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Every listing passes 3 checks: employer accepts remote hires worldwide, role is 100% remote, apply link is active.

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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.

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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