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Entry Level Data Analyst Ibm Jobs in Rochester Hills, MI

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI · On-site

$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.

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins Inc.

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

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All JobsData Analyst Ibm JobsEntry Level Data Analyst Ibm JobsEntry Level Data Analyst Ibm Jobs in Rochester Hills, MI

Entry Level Data Analyst Ibm information

See Rochester Hills, MI salary details

$12

$30

$56

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

As of Sep 8, 2026, the average hourly pay for entry level data analyst ibm 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 does an entry level data analyst at IBM do?

An Entry Level Data Analyst at IBM is responsible for collecting, processing, and analyzing large sets of data to help the company make informed business decisions. They use statistical tools and programming languages like SQL, Python, or R to clean and interpret data, create reports, and identify trends or insights. Typically, they collaborate with different teams to translate business needs into data-driven solutions, ensuring data integrity and accuracy throughout the analysis process.

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

To thrive as an Entry Level Data Analyst at IBM, you need a solid background in statistics, data analysis, and a relevant degree in fields like computer science, mathematics, or economics. Familiarity with analytical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or IBM Cognos is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data findings and explain insights to stakeholders. These skills and qualifications are crucial for delivering accurate, actionable business intelligence in a results-driven, collaborative environment.

What does the typical onboarding process look like for an entry level data analyst at IBM?

As an Entry Level Data Analyst at IBM, you'll participate in a structured onboarding process designed to help you acclimate to both IBM's culture and your specific team. This typically includes orientation sessions, technical training on IBM tools and platforms, and mentorship from experienced analysts. You'll work closely with your immediate team members and cross-functional partners, gradually taking on more complex data projects as you build your confidence. Regular feedback sessions and access to learning resources further support your professional growth, ensuring a smooth transition into your new role.

What is the difference between Entry Level Data Analyst Ibm vs Data Analyst?

AspectEntry Level Data Analyst IbmData Analyst
Required CredentialsBachelor's in CS, IT, or related field; IBM certifications beneficialBachelor's in similar fields; certifications vary by employer
Work EnvironmentIBM offices, client sites, or remote; corporate settingCorporate, tech, finance, or healthcare sectors; office or remote
Employer & Industry UsagePrimarily in IBM's technology and consulting divisionsAcross various industries including finance, healthcare, and tech

While both roles involve analyzing data to support business decisions, Entry Level Data Analyst Ibm typically focuses on IBM-specific tools and projects within IBM's environment, whereas Data Analysts work across diverse industries with a broader range of tools and platforms.

Can I be an entry level data analyst ibm with no experience?

Entry level data analyst roles at IBM typically require some foundational skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of being considered for the position.

What are popular job titles related to Entry Level Data Analyst Ibm jobs in Rochester Hills, MI?

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

What cities near Rochester Hills, MI are hiring for Entry Level Data Analyst Ibm jobs?

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

Entry Level Data Analyst Ibm jobs near you
Infographic showing various Entry Level Data Analyst Ibm job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,039 per year, or $30.3 per hour.

End of Line Data Analyst & NVH Solution Set Developer

Groupe SEGULA Technologies SA

Auburn Hills, MI • On-site

$60 - $80/hr

Other

Posted 7 days ago

Job description

The End of Line (EOL) Data Analyst & NVH Solution Set Developer is an entry-level to early-career role focused on using Minitab, Microsoft Excel, and structured data analysis to support the monitoring, analysis, and improvement of production end-of-line data systems. In this role, you will develop interim and permanent corrective action solution sets for complex noise, vibration, and harshness (NVH) challenges. You will partner with engineering, manufacturing, quality, calibration, validation, and plant operations teams to ensure EOL data is accurate, actionable, and effectively used to identify trends, resolve issues, and drive continuous improvement.

Key Responsibilities

  • Develop data-driven interim and permanent corrective action solution sets for complex noise and vibration challenges based on EOL data trends, statistical analysis, NVH findings, root-cause inputs, and cross-functional engineering feedback.

  • Monitor daily end-of-line test results, production data, and summary reports to identify statistically significant trends, recurring failure modes, population shifts, and emerging quality concerns.

  • Translate EOL and NVH analysis into practical containment actions, test adjustments, process recommendations, issue-screening logic, and longer-term corrective action paths.

  • Utilize Microsoft Excel and Minitab to analyze EOL test stand and production measurement datasets, emphasizing trend analysis, population comparisons, control charts, capability studies, and pass/fail performance.

  • Perform basic to intermediate statistical analysis, including data sorting, filtering, pivot tables, summary statistics, distribution reviews, outlier checks, control limits, process capability, regression, and variation studies.

  • Support the development and maintenance of dashboards, Excel-based trackers, Minitab studies, reports, and data visualization tools that communicate EOL performance to plant stakeholders.

  • Assist with EOL limit setting and validation by reviewing population statistics, measurement variation, normality, capability, control chart behavior, false-fail risk, and pass/fail margins.

  • Work with engineering and manufacturing teams to validate measurement outputs and support proper interpretation of EOL results.

  • Provide timely analysis and supporting data during launch, production ramp-up, quality spills, audit findings, and issue resolution activities.

  • Document analysis methods, reporting processes, lessons learned, and standard work for repeatable EOL data review.

Work Arrangement:

On-site / Plant-facing - travel to plants is required

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