Remote Data & Analytics Jobs
290 Remote Jobs available
At a glance: As of 26 Oct 2026, 290 live jobs from 171 employers. 54 were posted in the last 7 days. 29% publish a salary; the median published salary is $183,000 a year (USD). 10 are open to applicants anywhere in the world. Hiring most right now: Pinterest, Reddit and Wealthsimple.
Analytics Engineer
New360LearningPosted 9 hours agoLocation not statedBigQuerydbtLookerSenior/Staff Data Scientist (ACF)
NewSkylightPosted 15 hours agoLocation not statedStaffPower BITableauSenior Data Engineer - Real time analytics
NewAircallYesterdayFranceSeniorAirflowAWSKafkaSr. AI/ML Engineer (MXC)
NewAlertMediaYesterdayMexicoSeniorSenior Staff Software Engineer, Data
NewJuniper SquareYesterdayCA · USStaffStaff Analyst, GTM
NewClickUpYesterdayCA · USStaffStaff Data Engineer
NewClickUpYesterdayCA · USStaffSenior Data Engineer (remote)
NewQualifyze GmbHYesterdayWorldwideEUR 60K–70K / yearSeniorAirflowAWSdbtStaff Research Scientist- Interactive Avatars
NewSynthesiaYesterdayEuropeStaffSenior Software Developer
Parsons Corporation2 days agoUnited StatesUSD 125K–225K / yearSeniorAgileAWSAzureSr. Data Analytics Engineer (R14153)
Oportun2 days agoIndiaSeniorAgileAirflowApache SparkAssociate Data Engineer
BeyondTrust2 days agoIndiaJuniorCI/CDPythonMarketing & GTM Data Analyst
Deepgram2 days agoUnited StatesUSD 115K–148K / yeardbtHubSpotPythonBackend Engineer, Knowledge Graph (Rust)
GitLab2 days agoCA · USUSD 115K–162K / yearRustKafkaRubySenior Data Analyst, Enterprise
1Password2 days agoCA · USSeniordbtSalesforceSnowflakeSenior Data Analyst
ShopFully2 days agoItalySeniorInsights Sector Lead, Emerging Verticals
YipitData2 days agoUnited StatesLeadInsights Associate - Retail
YipitData2 days agoUnited StatesJuniorStaff, Fraud Countermeasures
Wealthsimple2 days agoCanadaStaffAccessibilityRuby on RailsSQLSenior Data Engineer
Nebius3 days agoIsraelSenior
Data roles run the pipeline from raw events to decisions: ingestion and warehousing, modelling and transformation, dashboards, experiment analysis, and the definitions everyone else quotes in meetings.
Anyone with enough customers to argue about metrics. Data engineering skews toward larger companies and infrastructure vendors; analytics and analytics engineering are common at mid-size product companies.
Check whether the role is building pipelines or answering questions — both are called "data" and they are different jobs. Ask who owns metric definitions, and whether the warehouse already exists or you are the one standing it up.
