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Entry Level Data Analyst Jobs in Rochester, MI (NOW HIRING)

LSPedia Inc

System Analyst I

Farmington Hills, MI · On-site

The Systems Analyst I is an entry-level to early-career role responsible for supporting system ... Ensure adherence to internal SOPs, data security standards, and compliance requirements. * Assist ...

Uhy Llp

Valuation Analyst

Sterling Heights, MI · On-site

$50 - $75/hr

This is an entry-level position.# ** *** Analyze complex financial analyses and instruments ... Collect and organize relevant financial and operational data to support valuation models and ...

Nextiny

Entry Level Digital Marketer

Warren, MI · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Warren, MI

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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

Entry Level Data Analyst information

See Rochester, MI salary details

$12

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$56

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

As of Sep 6, 2026, the average hourly pay for entry level data analyst in Rochester, 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.

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

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

What job categories do people searching Entry Level Data Analyst jobs in Rochester, MI look for?

The top searched job categories for Entry Level Data Analyst jobs in Rochester, MI are:

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

Cities near Rochester, 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, MI as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $63,039 per year, or $30.3 per hour.

System Analyst I

LSPedia Inc

Farmington Hills, MI • On-site

Full-time

Posted 18 days ago

Job description

Department: Operations

Reports To: Customer Success Manager

Employment Type: Full-time

Work Location: Onsite – Farmington Hills, Michigan


Job Summary: 

The Systems Analyst I is an entry-level to early-career role responsible for supporting system analysis, configuration, and customer-facing solution delivery activities. This position works closely with Customer Success Managers, Project Managers, and senior analysts to help document requirements, support implementations, troubleshoot basic system issues, and ensure customers are successfully using LSPedia solutions. This role is ideal for candidates building foundational experience in SaaS platforms, customer success operations, and regulated environments.


Key Responsibilities

  • Assist in gathering and documenting business and system requirements under guidance from senior analysts or project leads.
  • Support configuration and setup of customer environments, modules, and user access.
  • Participate in analysis of existing workflows and help identify opportunities for process or system improvements.
  • Create and maintain basic system documentation, including workflows, user guides, and configuration notes.
  • Support testing activities including unit testing and user acceptance testing (UAT) execution.
  • Troubleshoot and resolve low-to-moderate complexity system issues, escalating as needed.
  • Assist with customer onboarding, training sessions, and post-implementation support activities.
  • Work closely with Customer Success Managers to support customer inquiries and operational requests.
  • Ensure adherence to internal SOPs, data security standards, and compliance requirements.
  • Assist with AI initiatives and documentation/testing of new AI related features.


Minimum Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Business Administration, or a related field (or equivalent experience).
  • 1–2 years of experience in systems analysis, application support, customer support, or IT operations.
  • Strong documentation, communication, and organizational skills.
  • Willingness to learn SaaS platforms and customer-facing systems.


Preferred Qualifications

  • Exposure to SaaS platforms, CRM systems, or ERP systems.
  • Basic understanding of APIs, data flows, or system integrations.
  • Experience supporting customers or internal business users.
  • Experience with setting up, testing, and maintaining AI features.
  • Interest in working in regulated industries such as healthcare or life sciences.

Physical Requirements: 

  • Prolonged sitting for extended periods of time.
  • Frequent use of hands and fingers for typing, mouse operation, and other computer-related tasks.


About LSPedia

Welcome to LSPedia, a global software (SaaS) leader at the forefront of traceability, compliance, and supply chain solutions, dedicated to empowering the pharmaceutical, healthcare, and food industries. As a distinguished Top 50 Michigan Company and recognized on INC's list of the fastest-growing companies in America, LSPedia stands as a beacon of innovation and excellence. 

Our cutting-edge software solutions have earned the trust of major players in the pharmaceutical and healthcare sectors, including esteemed organizations such as the U.S. Department of Veterans Affairs, Cencora, Cardinal Health, Leading Pharma, Tris Pharma, Amazon, Ascension Health, and thousands more. We take pride in our commitment to delivering unparalleled traceability and compliance solutions that redefine industry standards.

At LSPedia, we are fueled by a passion for innovation and a commitment to excellence. Join our rockstar team as we continue to expand and shape the future of traceability and supply chain solutions. We are actively seeking individuals who share our vision and enthusiasm to contribute to the ongoing success of our dynamic and growing company. Together, we are driving the evolution of industries and shaping a more connected, compliant, and efficient future.