Temukan lowongan remote data & analytics terkurasi untuk profesional Indonesia — tanpa geo-blok, gaji dalam dolar AS.
Lowongan remote data & analytics berbayar USD untuk profesional Indonesia. Saat ini ada 65 posisi aktif: data engineer, analytics engineer, data analyst, BI engineer, data scientist, dan analytics lead. Sumber: delapan platform remote global. Setiap lowongan difilter — tidak ada syarat work permit US/EU, fully remote, dan menerima kandidat berbasis Indonesia. Stack yang dominan dicari: SQL (advanced), Python/pandas, dbt, Snowflake/BigQuery/Redshift, Airflow/Dagster/Prefect, Looker/Metabase/Mode, dan satu BI tool tier-1. Skill modeling dimensional + business framing menentukan jenjang gaji. Rentang gaji: $2.500–$5.000/bulan untuk junior data analyst, $5.000–$10.000 untuk mid/senior analytics & data engineer, $10.000–$18.000 untuk staff/lead, dan $18.000–$25.000+ untuk principal data engineer atau head of data. Apply langsung ke perusahaan via link di tiap lowongan.
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Data analyst: query + dashboard + insight communication. Analytics engineer: model data dengan dbt + maintain semantic layer untuk self-serve. Data engineer: build pipeline ingestion, transformation, dan infra (Airflow, Snowflake). Gaji DE > AE > DA biasanya.
Junior: $3.000–$5.000/bulan. Mid: $5.500–$9.000/bulan. Senior: $9.000–$15.000/bulan. Staff/principal: $15.000–$25.000+/bulan. Lebih tinggi di fintech/AI startup karena data volume besar dan kompleks.
SQL advanced + satu BI tool (Looker/Metabase/Mode) sudah cukup untuk junior. Untuk mid-senior dibutuhkan Python (pandas), exposure ke dbt, dan kemampuan stakeholder communication. Bonus: pengalaman event tracking implementation.
Snowflake atau BigQuery (warehouse), dbt (transformation), Airflow atau Dagster (orchestration), Fivetran/Airbyte (ingestion), Looker atau Metabase (BI), dan PostHog/Amplitude (product analytics). Wajib SQL + Python.
Ya, jika produk yang Anda support punya scale (>5TB warehouse atau >100 daily active dashboard users). Yang sering jadi gap: dbt + analytics engineering practice. Bridge dengan side project dbt pada dataset publik.