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Entry Level Data Analyst Jobs in Rochester Hills, MI

Stellantis

Plant Financial Analyst

Detroit, MI

The Manufacturing Financial Analyst is responsible for providing operating management with ... Cost Deployment responsibilities including data collection and CD development matrices * Logistics ...

New

Roush

CAE NVH & Durability Analyst I

Livonia, MI · On-site

This entry-level position will perform Finite Element Analysis (FEA) to solve CAE NVH / Durability ... Manage analysis files according to company data-retention policies. Minimum Requirements:

Roush

CAE NVH & Durability Analyst I

Livonia, MI

This entry-level position will perform Finite Element Analysis (FEA) to solve CAE NVH / Durability ... Manage analysis files according to company data-retention policies. Minimum Requirements:

Deloitte

Senior Consultant

Detroit, MI · On-site

Provide industry insight and analytical support using data mining, pattern matching, data ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Aampower

Controls Engineer

Detroit, MI

$82K - $106K/yr

Ensures integrity of process and data collection. * Analyze existing systems and develop solutions ... Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ...

CONTROLTEC LLC

Cloud Automation Engineer

Allen Park, MI

$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 ...

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Entry Level Data Analyst information

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

As of Aug 22, 2026, the average hourly pay for entry level 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 does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Rochester Hills, MI?

The most popular types of Data Analyst jobs in Rochester Hills, MI are:

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

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

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 5% Internship, 75% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $63,039 per year, or $30.3 per hour.

AI Engineer / Data Scientist, AI Senior Associate

Pwc

Detroit, MI • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making and business growth
- Collaborating with teams to build and deploy software and platform systems for AI solutions
- Applying data wrangling techniques to prepare datasets for AI model training and validation
- Utilizing critical thinking to break down complex concepts and generate innovative solutions
- Interpreting data to inform insights and recommendations for client engagements
- Upholding professional and technical standards in alignment with the firm's code of conduct
- Navigating complex situations to anticipate the needs of teams and clients
- Building meaningful client connections to foster long-term relationships and trust
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning
- Utilizing critical thinking to break down complex concepts
- Navigating ambiguity while maintaining focus on client needs
- Building meaningful client connections and managing relationships
- Interpreting data to inform insights and recommendations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

Hours and flexibility

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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