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Cloud Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... AWS (S3) : Experience consuming and managing data in cloud storage. * Snowflake : Hands-on ...

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Strong analytical skills and attention to detail. * * Ability to adapt to new technologies and ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Familiarity with cloud data platforms including Databricks, Spark, Azure, AWS, or similar ... Analyze, profile, and document enterprise data flows, business rules, and data lineage. * Support ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... Strong analytical, problem-solving, communication, and stakeholder management skills. * Ability to ...

Create scripts to retrieve data from the Cloud Analyze data that is stored in the Cloud environment Produce reports and highlight patterns for upper management decision making Basic Qualifications:

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal ... Experience with cloud data platforms (e.g., AWS, Azure, Google BigQuery). * Familiarity with CRM ...

Data Analyst Location: Omaha, NE (Onsite) * Senior Data Analyst responsible for leading reporting ... Experience working with large-scale datasets, data warehouses, and cloud data platforms such as ...

... cloud data platforms (e.g., BigQuery, Redshift, Snowflake). • Strong experience with Python or R for data analysis, modeling, and automation. • Proficiency in data visualization tools (e.g ...

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice ... Strong analytical, problem solving, negotiation, issue resolution and facilitation skills are ...

Cloud Data Architect

Reston, VA · On-site

$67.75 - $86/hr

As a Cloud and Data Architect, you will be responsible for leading architectural decisions for the ... Strong background in risk assessment, control design, gap remediation, and impact analysis. MLOps ...

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Cloud Data Analyst information

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$34K

$82.6K

$136K

How much do cloud data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for 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 does a typical day look like for a Cloud Data Analyst?

A typical day for a Cloud Data Analyst involves extracting, cleaning, and analyzing large datasets stored on cloud platforms, collaborating closely with data engineers and business teams to translate business goals into data solutions. You might develop automated data pipelines, create insightful dashboards, or run ad hoc analyses to support strategic decision-making. Regular tasks also include troubleshooting data issues, optimizing cloud data processes, and presenting findings to stakeholders. The role is highly collaborative and may require adapting quickly to shifting project priorities, making it both dynamic and rewarding.

Is 40 too late for data science?

For a Cloud Data Analyst, age is not a barrier to entering data science, as skills in programming, statistics, and cloud platforms are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python, R, and cloud services can facilitate a career shift regardless of age.

What are the key skills and qualifications needed to thrive in the Cloud Data Analyst position, and why are they important?

To thrive as a Cloud Data Analyst, you need strong analytical abilities, experience with data modeling, and a solid understanding of cloud computing concepts, often supported by a degree in computer science, data analytics, or a related field. Familiarity with tools such as SQL, Python, cloud services like AWS, Azure, or Google Cloud, and relevant certifications (e.g., AWS Certified Data Analytics) is commonly required. Excellent problem-solving, communication, and collaboration skills help you interpret data findings and work effectively with technical and non-technical stakeholders. These skills are important to ensure accurate data-driven insights, efficient data management in cloud environments, and impactful business decisions.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a cloud data analyst involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

What is a Cloud Data Analyst job?

A Cloud Data Analyst is responsible for analyzing and managing data stored in cloud-based platforms. They use data visualization, querying, and analytics tools to interpret data and provide insights that drive business decisions. Their role often involves working with cloud services like AWS, Google Cloud, or Azure to optimize data storage, processing, and security. They collaborate with data engineers, business teams, and IT professionals to ensure data accuracy and accessibility. Strong skills in SQL, Python, and cloud-based data tools are essential for this role.

What does a cloud data analyst do?

A cloud data analyst collects, processes, and analyzes data stored in cloud platforms to help organizations make data-driven decisions. They use tools like SQL, Python, and cloud services such as AWS or Azure, and often require knowledge of data visualization and data management best practices.

Who earns more, a data analyst or a cloud engineer?

Cloud engineers generally earn higher salaries than data analysts due to their specialized skills in cloud platforms like AWS or Azure and their involvement in infrastructure management. Data analysts focus on data interpretation and reporting, typically earning less but requiring skills in SQL, Excel, and data visualization tools. Salary differences can vary based on experience, certifications, and geographic location.
More about Cloud Data Analyst jobs
What cities are hiring for Cloud Data Analyst jobs? Cities with the most 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 Cloud Data Analyst jobs? States with the most job openings for Cloud Data Analyst jobs include:
Infographic showing various Cloud Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst with Capital Market

Data Analyst with Capital Market

PSRTEK LLC

Saint Paul, MN • On-site

Full-time

Posted 27 days ago


Job description

Job Description

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing reports, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Generate reconciliation reports that compare source systems

Requirements

  • Proven working experience as a data analyst or business  Data analyst
  • Experience working in Data initiatives using new-age Data & analytics paradigms and concepts E.G. Big-Data Analytics,Data Lake/Hub,Data Virtualization,Master Dtaa mgmt,AI/ML/RPA
  • Solid exposure/experience working in cloud Data environments (leading cloud providers like Amazon~AWS,Azure,GCP)
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages, databases (SQL etc), programming (XML, Javascript, Python)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (R,Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS/MS in Mathematics, Economics, Computer Science, Information Management or Statistics
Additional Information

All your information will be kept confidential according to EEO guidelines.