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Entry Level Cloud Data Analyst Jobs in Raleigh, NC

... analytics and AI across the customer lifecycle. This role designs and operates ingestion pipelines from Salesforce and other RevTech systems (e.g., Gong, Pardot) into Salesforce Data Cloud (Data 360 ...

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Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Design, build, and maintain scalable data pipelines and workflows in a cloud environment * Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and strong ...

AI Impact Analyst

Raleigh, NC · On-site

$86K - $138K/yr

The rapidly evolving data landscape necessitates an adaptable and risk-tolerant individual to ... cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work ...

... Analyst within our application development division, to strengthen data, reporting, and database ... cloud-hosted and on-premise deployments. This position combines advanced SQL development, data ...

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Entry Level Cloud Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level cloud data analyst jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level cloud data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Cloud Data Analyst vs Cloud Data Engineer?

AspectEntry Level Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; basic knowledge of cloud platformsBachelor's or higher in Computer Science, Software Engineering; certifications like AWS or Azure
Work EnvironmentData analysis teams, cloud platforms, reporting toolsData infrastructure, cloud architecture, data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retailCloud service providers, large enterprises, tech firms
Common Search & ComparisonYesYes

The Entry Level Cloud Data Analyst focuses on interpreting data, creating reports, and supporting decision-making using cloud tools. In contrast, a Cloud Data Engineer designs and maintains data pipelines and infrastructure on cloud platforms. While both roles work within cloud environments, analysts primarily analyze data, whereas engineers build and optimize data systems.

What are entry level cloud data analysts?

Entry level cloud data analysts are professionals who assist organizations in collecting, processing, and analyzing data stored on cloud platforms. They use tools and technologies such as SQL, Python, and cloud services like AWS, Google Cloud, or Azure to generate insights that support business decisions. Their responsibilities often include data cleaning, report generation, and creating visualizations, all while learning to optimize workflows in the cloud environment. These roles are ideal for recent graduates or individuals transitioning into cloud and data analytics fields, offering opportunities to build foundational skills and grow within the industry.

How does an Entry Level Cloud Data Analyst typically collaborate with other teams within an organization?

As an Entry Level Cloud Data Analyst, you'll frequently work alongside data engineers, software developers, and business analysts to ensure data is properly collected, stored, and interpreted in cloud environments. Collaboration often involves participating in meetings to discuss data requirements, sharing findings with business stakeholders, and assisting in building dashboards or reports. Effective communication and teamwork are key, as you'll be translating technical data insights into actionable information for non-technical team members. You may also support senior analysts in troubleshooting data pipeline issues and optimizing cloud-based data solutions.

What are the key skills and qualifications needed to thrive as an Entry Level Cloud Data Analyst, and why are they important?

To thrive as an Entry Level Cloud Data Analyst, you need a solid understanding of data analysis fundamentals, basic programming skills (often in Python or SQL), and familiarity with cloud platforms, typically supported by a relevant degree or coursework. Experience with tools like AWS, Azure, Google Cloud, and data visualization software such as Tableau or Power BI, as well as entry-level certifications like AWS Certified Cloud Practitioner, are commonly expected. Analytical thinking, problem-solving, and strong communication skills help you interpret data and collaborate with technical and non-technical teams. These skills are crucial for turning complex cloud-based data into actionable insights that drive business decisions.
What are the most commonly searched types of Cloud Data Analyst jobs in Raleigh, NC? The most popular types of Cloud Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Cloud Data Analyst jobs in Raleigh, NC? For Entry Level Cloud Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Entry Level Cloud Data Analyst jobs? Cities near Raleigh, NC with the most Entry Level Cloud Data Analyst job openings:

$83K - $105K/yr

Full-time

Re-posted 4 days ago


Job description

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.

Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click “Apply”