Latestremote

Latest listings · updated daily · July 18, 2026

Remote Data Analyst Jobs

Here are the live remote data analyst jobs on the board: analyst, analytics engineering, and BI openings, all posted within the last 30 days, each with a transparent pay band, from remote-first companies verified by hand. Check the stack named in each listing first, SQL is universal, but the modeling and BI layers differ by team.

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Data analyst jobs: typical salary ranges

Role Typical range (per year)
Data Analyst $70k to $95k
Senior Data Analyst $95k to $125k
BI Developer $85k to $115k
Analytics Engineer $110k to $150k
Data Scientist $120k to $165k

Ranges reflect salary bands published on current and recent listings in this category on Latestremote. Every listing shows its own range.

What remote data analysts do day to day

Analysis may be the most naturally remote job in the modern company: the data lives in a warehouse, the dashboards live in a browser, and the deliverable is a written insight, none of which improves with a commute. A typical week mixes stakeholder questions ("why did activation dip in March?"), scheduled reporting, and one or two deeper investigations that end in a short memo with a recommendation. At Glasspoint, analysts study sales-engagement data; at Quietloop, they turn employee-listening surveys into retention insight; at Parcelbay, they model shipping costs against carrier performance.

The remote-specific skill is the insight memo. In an office, an analyst can walk a chart over to a desk and narrate it; remotely, the writeup must carry the narration: question, method in one line, finding, caveat, recommendation. Analysts who master that format become the most-cited people in the company. The craft borders engineering, analytics engineers who model data in dbt-style pipelines earn meaningfully more, so if you enjoy the pipeline side, watch the remote software engineer jobs on this board as well.

Skills, tools, and the 2026 hiring bar

The bar is concrete. SQL is non-negotiable and will be tested live or via take-home: joins, window functions, and the judgment to sanity-check your own numbers. One BI tool fluently (Looker, Tableau, Metabase, or similar) matters more than passing familiarity with four. Python or R is a plus for analyst roles and a requirement for data science ones. Statistics expectations are practical: know what significance means and when a difference is noise.

What separates hired candidates is a public artifact: one end-to-end analysis of a real dataset, with the code, the visuals, and, most importantly, the written conclusion. It answers every screening question at once. Pay bands here run from $70k for analysts to $165k for data scientists, listed on each posting because we require it of every company we verify; the remote first companies directory shows who is behind each listing. New data roles appear on the main remote jobs board weekly, and nothing stays listed past 30 days.

Questions about data analyst jobs

Can data analysts work fully remote?
Yes, it is one of the most remote-compatible roles in tech: the warehouse, the BI layer, and the stakeholders are all reachable from anywhere, and the core deliverable is a written insight. Every analyst listing on this page is fully remote at a verified remote-first company.
What SQL level do I need for a remote data analyst job?
Comfortable and current: multi-table joins, aggregation, CTEs, and window functions, plus the habit of validating your own output. Most interview processes include a live SQL exercise or a take-home on a realistic dataset. If you can reconstruct a funnel metric from raw event tables, you are ready to apply.
Is a data analyst or analytics engineer paid more?
Analytics engineers earn more, $110,000 to $150,000 remote in 2026 versus $70,000 to $95,000 for analysts, because they combine analysis with software practices like version-controlled data modeling and pipeline testing. Many analysts step up by learning dbt-style modeling on the job over one to two years.

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