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Entry Level Cloud Data Analyst Jobs in Rochester Hills, MI

Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud-based data platforms, data warehouses, and modern analytics ecosystems. * Demonstrated ability to ...

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience with low-code application development, cloud technologies, or UX/UI design. * Ability to ...

New

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience with low-code application development, cloud technologies, or UX/UI design. * Ability to ...

New

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Experience working with big data in a cloud environment , particularly Azure and Databricks

Cloud Automation Engineer

Allen Park, MI · On-site

$50.75 - $68/hr

This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ... Engineer, entry level. This position will be working on the IT Solutions team to automate ...

Cloud Automation Engineer

Allen Park, MI · On-site

$50.75 - $68/hr

This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ... Engineer, entry level. This position will be working on the IT Solutions team to automate ...

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Strong experience with Azure Synapse Analytics. * Hands-on experience with PySpark, Spark, Python ... Experience with Azure cloud data services and enterprise-scale data platforms. Strong understanding ...

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Entry Level Cloud Data Analyst information

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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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For Entry Level Cloud Data Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:

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Cities near Rochester Hills, MI with the most Entry Level Cloud Data Analyst job openings:

Full-time

Posted 5 days ago


Job description

Data Analyst

Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST, Monday through Friday  

If interested please apply through this link: https://careers.hcltech.com/job/Analyst-%28Non-Voice%29/152865-en_US/

Job Description We are looking for a Data Analyst to support business operations through data analysis, reporting, and process automation. The ideal candidate will develop interactive dashboards, analyze large datasets, automate workflows, and provide actionable insights that drive operational efficiency and informed decision-making. This role requires close collaboration with business stakeholders to understand reporting needs and deliver scalable analytical solutions.

 Scope of the Work • Work closely with business and client stakeholders to understand objectives, challenges, and opportunities. • Gather, analyze, and interpret data from multiple sources to support decision-making. • Design, develop, and maintain Power BI dashboards and reports to monitor business performance and operational KPIs. • Clean, transform, and integrate data from multiple sources using Power Query and SQL. • Analyze productivity, quality, customer satisfaction (CSAT), SLA compliance, and workforce performance metrics to identify trends and improvement opportunities. • Build scorecards, ranking models, eligibility calculations, and executive-level reports to support business decisions. • Develop and maintain Power Apps and Power Automate workflows to streamline operational processes and reduce manual effort. • Ensure data accuracy through validation, troubleshooting, and continuous monitoring of reporting processes. • Prepare presentations and reports for leadership, providing insights and recommendations based on data analysis.

Must Have: • 2-3 years of experience in Data Analytics, Business Analytics, or a similar role. • Strong presentation and data storytelling skills, with the ability to communicate insights effectively to business and executive stakeholders. • Strong SQL skills with experience working on large and complex datasets. • Hands-on experience with Power BI, including dashboard development and data modelling. • Advanced Excel skills, including Pivot Tables, Power Query, lookups, and data analysis functions. • Proficiency in Microsoft 365 tools (SharePoint, Excel, Outlook, Teams, Word, PowerPoint, OneNote) • High attention to detail ensuring accuracy and quality of deliverables. • Strong analytical and problem-solving capabilities. • Excellent verbal and written communication skills.

Good to have: • Microsoft Power BI Certification (PL-300) or equivalent Business Intelligence certification. • Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud-based data platforms, data warehouses, and modern analytics ecosystems. • Demonstrated ability to identify opportunities for process improvement and drive data-led innovation initiatives. • Experience working in a client-facing, consulting, or stakeholder-intensive environment.

What this role is NOT: • A dashboard maintenance role or solely data extraction and reporting role. • A purely technical role with limited business or stakeholder interaction.  


HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multigenerational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit our website