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

Auto-Owners Insurance, a top-rated insurance carrier, is seeking an entry-level motivated Business ... Organize and interpret data * Ability to handle multiple assignments Benefits Auto-Owners offers a ...

Board Certified Behavior Analyst

Okemos, MI · On-site

$67K - $82K/yr

Senior Behavior Specialist (Grad students or new grads pursuing supervision hours) * Entry-Level ... skill acquisition plan, data, home-based, center-based, natural environment teaching (NET ...

Board Certified Behavior Analyst

Okemos, MI · On-site

$67K - $82K/yr

Senior Behavior Specialist (Grad students or new grads pursuing supervision hours) * Entry-Level ... skill acquisition plan, data, home-based, center-based, natural environment teaching (NET ...

Board Certified Behavior Analyst

Okemos, MI · On-site

$67K - $82K/yr

Senior Behavior Specialist (Grad students or new grads pursuing supervision hours) * Entry-Level ... skill acquisition plan, data, home-based, center-based, natural environment teaching (NET ...

Logistics Coordinator

Lansing, MI · On-site

$50K - $100K/yr

... data analysis. Qualifications * - Korean/English Bilingual REQUIRED * - Bachelor's degree in ... (Entry-level candidates are also welcome) * - Fluency in both Korean and English ? Able to ...

2027 Intern - Technology

Lansing, MI · On-site

$15.25 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

New

Position Summary The HR Generalist is an entry-level Human Resources professional responsible for ... Collect, analyze, and report HR metrics, scorecards, dashboards, and workforce data to support ...

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Showing results 1-20

Entry Level Data Analyst information

See Lansing, MI salary details

$13

$33

$62

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

As of Aug 23, 2026, the average hourly pay for entry level data analyst in Lansing, MI is $33.40, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $37.31 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.

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

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

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

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

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

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

Infographic showing various Entry Level Data Analyst job openings in Lansing, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,464 per year, or $33.4 per hour.

Intern Data Specialist 2027 - AI & Analytics

IBM

Lansing, MI • On-site

Other

Posted 7 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies


Job description

Introduction

As an IBM Consulting FutureNow Center Intern, you'll work alongside experienced professionals to help solve real business and technology challenges for clients around the world. You'll gain hands-on experience, build in-demand technical and professional skills, and contribute to meaningful projects while learning in a collaborative, team-based environment.

This internship is designed to provide meaningful, hands-on experience that prepares students for a potential full-time career with IBM Consulting upon graduation.

In this role, you'll work in one of our IBM Consulting FutureNow Centers , where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As an Intern Data Specialist at IBM, you'll gain hands-on experience helping organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You'll work alongside experienced IBM professionals while developing practical technical, analytical, and problem-solving skills that prepare you for a future career in data engineering, Artificial Intelligence, and enterprise consulting.

As part of this opportunity, you will be aligned to the following practice:

AI, Analytics, Automation & Data Services - focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI-driven solutions that improve business performance and decision-making.

Data is the foundation of Artificial Intelligence and digital transformation. During your internship, you'll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful business outcomes.

No two projects are exactly alike. You may contribute to projects supporting clients across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.

Throughout your internship, you'll collaborate with experienced data specialists, data engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands-on project experiences, and AI-enabled tools, you'll strengthen your technical capabilities, analytical thinking, and professional skills while building a strong foundation for a future career at IBM.

During your internship, you may have opportunities to:

  • Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making.
  • Assist experienced team members with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
  • Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and Artificial Intelligence solutions.
  • Analyze structured and unstructured data to identify trends, generate insights, and support business decision-making.
  • Collaborate with cross-functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
  • Assist with testing, validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
  • Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

  • Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
  • Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
  • Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies through coursework, projects, research, internships, or personal learning.
  • Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
  • Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, academic projects, research, hackathons, student organizations, personal learning, certifications, IBM SkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities.
  • Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.

You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Bring your curiosity. Grow your skills. Build what's nex, like an IBMer.

Preferred technical and professional experience

  • Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects, research, hackathons, or internship experiences.
  • Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
  • Interest in Artificial Intelligence, Generative AI, data-driven decision-making, consulting, and continuous learning.
  • Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.

ABOUT BUSINESS UNIT

IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Intern Data Specialist - AI & Analytics - 2027

Date posted

14-Aug-2026

Job ID

128792

City / Township / Village

Lansing

State / Province

Michigan

Country

United States

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

45,760.00

Projected Maximum Salary per year

45,760.00

Position type

Internship

Travel required

Up to 20% or 1 day a week

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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