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Remote Cloud Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

OR · Remote

$85.90K - $108.40K/yr

... cloud spend in our AWS environment. ABOUT THE TEAM The Financial Data Analytics team is the ... Remote

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data Analyst / Data Modeler serves ... Implement and maintain physical data models on cloud platforms such as Snowflake . * Partner with ...

We are currently seeking a highly skilled Data Analyst to join our team on a full-time, remote ... Experience with cloud platforms (AWS, Azure, etc.) is a plus We offer a competitive salary and ...

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale. * Interfacing directly with clients throughout the project lifecycle ...

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale. * Interfacing directly with clients throughout the project lifecycle ...

SR Data Analyst with Insurance Domain

$88K - $111.10K/yr

Responsibilities : • Design end to end cloud data architectures that leverage Amazon RDS Amazon S three AWS EC two and AWS EMR to deliver scalable analytics platforms that align with enterprise ...

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Remote Cloud Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do remote cloud data analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote cloud data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cloud Data Analyst vs Cloud Data Engineer?

AspectRemote Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Azure Data Scientist or AWS Data AnalyticsBachelor's or higher in Computer Science, Data Engineering, or related; certifications like AWS Certified Data Analytics or Google Cloud Professional Data Engineer
Work EnvironmentData analysis, reporting, visualization in cloud platforms, often collaborativeDesigning, building, maintaining data pipelines and infrastructure in cloud environments
Employer & Industry UsageUsed across finance, healthcare, marketing, and tech companies for data insightsCommon in tech, finance, and large enterprises for data infrastructure development

The Remote Cloud Data Analyst focuses on analyzing and interpreting data stored in cloud platforms, creating reports and visualizations. In contrast, a Cloud Data Engineer builds and maintains the data infrastructure and pipelines in cloud environments. Both roles require cloud platform certifications and work in similar industries, but their core responsibilities differ significantly.

More about Remote Cloud Data Analyst jobs
What cities are hiring for Remote Cloud Data Analyst jobs? Cities with the most Remote Cloud Data Analyst job openings:
What are the most commonly searched types of Cloud Data Analyst jobs? The most popular types of Cloud Data Analyst jobs are:
What states have the most Remote Cloud Data Analyst jobs? States with the most job openings for Remote Cloud Data Analyst jobs include:
Infographic showing various Remote Cloud Data Analyst job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 17% Temporary, and 33% Contract. Highlights an 17% In-person, and 83% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

San Jose, CA • On-site, Remote

$40/hr

Full-time

Posted 4 days ago


Job description

Cloud Data Engineer – AI & Analytics Transformation

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.

Key Responsibilities:

  • Design and implement modern data architectures using cloud platforms
  • Build and optimize ETL/ELT pipelines for large-scale datasets
  • Work closely with cross-functional teams to deliver business insights

Required Skills:

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
  • Strong cloud experience (AWS, Azure, GCP)
  • Experience in distributed data processing and pipeline orchestration

Nice to Have:

  • Exposure to ML engineering and MLOps practices
  • Experience with GenAI or Agentic AI solutions
  • Understanding of enterprise AI governance frameworks

For more details reach at resumes@navitassols.com.