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Entry Level Cloud Data Analyst Jobs in Rochester Hills, MI

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... Cloud Platform (GCP). * Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience Required: * Experience with data manipulation and analysis libraries ...

Clarkston Consulting

Data Architect

Detroit, MI · On-site +1

$63 - $81.25/hr

Display advanced analytical and conceptual skills to create original concepts for various projects ... Familiarity with cloud data platforms and process automation * Experience in using various data ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107K - $182K/yr

Collaborate with Ford's Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including Google Cloud. Translate business ...

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics. * Optimize cloud infrastructure: Utilize AWS cloud computing platforms to ...

Ford Motor Company

Cloud Prognostics Engineer

Dearborn, MI · On-site

$51.50 - $69/hr

We are seeking a top-tier Cloud Prognostics Engineering professional who is data driven, self ... Master's degree with 5+ years of automotive experience in engineering and/or data analytics. * 5+ ...

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All JobsCloud Data Analyst JobsEntry Level Cloud Data Analyst JobsEntry Level Cloud Data Analyst Jobs in Rochester Hills, MI

Entry Level Cloud Data Analyst information

See Rochester Hills, MI salary details

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

As of Aug 23, 2026, the average hourly pay for entry level cloud data analyst in Rochester Hills, MI is $30.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $33.85 per hour, depending on experience, location, and employer.

What is an entry level cloud data analyst?

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.

What are the key skills and qualifications needed to thrive as an entry level cloud data analyst?

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.

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 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.

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Entry Level Cloud Data Analyst jobs near you

Data Scientists Modeling

Tech Tammina LLC

Dearborn, MI • On-site

Contractor

Re-posted 7 days ago

Job description

Role: Data Scientists Modeling
Location: Dearborn, MI (Hybrid)
Duration: Long term
Rate: Market

 
What You'll Do: 
•    Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. 
•    Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. 
•    Translate complex business questions and challenges into well-defined data science problems and analytical tasks. 
•    Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). 
•    Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
•    Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
•    Iterate on models and approaches based on performance feedback and evolving business requirements. 
•    Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.
 
Skills Required:
•    Demonstrated ability to deal with and process data from real-world sources. 
•    Experience performing Exploratory Data Analysis (EDA). 
•    Experience with model development (statistical modeling, machine learning). 
•    Familiarity with the process of deploying models into production or working alongside teams that do. 
•    Proven ability to translate business questions into data-driven problems.
•    Ability to translate data analysis results and model insights into clear, business-oriented solutions. 
•    Proficiency in at least one major programming language used in data science (e.g., Python, R).
 
Skills Preferred:
•         Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
•         Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
 
Experience Required:
•         Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).
 
Experience Preferred:
•         Experience in Auto Industry