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No Experience Data Analytics Jobs in Michigan (NOW HIRING)

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

Spring 2027 Intern - Data Analytics

Kalamazoo, MI · On-site +1

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

Spring 2027 Intern - Data Analytics

Ann Arbor, MI · On-site +1

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

Spring 2027 Intern - Data Analytics

Warren, MI · On-site

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

Spring 2027 Intern - Data Analytics

Detroit, MI · On-site

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Workiva

Spring 2027 Intern - Data Analytics

Allendale, MI · On-site +1

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

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All JobsData Analytics JobsNo Experience Data Analytics JobsNo Experience Data Analytics Jobs in Michigan

No Experience Data Analytics information

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

Can I get into no experience data analytics with no experience?

No experience data analytics roles are designed for entry-level candidates and often do not require prior experience. Success typically depends on foundational skills in Excel, SQL, or programming languages like Python, along with a willingness to learn and relevant certifications or courses. Entry-level positions focus on training and skill development for those new to the field.

What are the most commonly searched types of Data Analytics jobs in Michigan?

The most popular types of Data Analytics jobs in Michigan are:

What are popular job titles related to No Experience Data Analytics jobs in Michigan?

For No Experience Data Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching No Experience Data Analytics jobs in Michigan look for?

The top searched job categories for No Experience Data Analytics jobs in Michigan are:

What cities in Michigan are hiring for No Experience Data Analytics jobs?

Cities in Michigan with the most No Experience Data Analytics job openings:

No Experience Data Analytics jobs near you
Infographic showing various No Experience Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 19% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Analytics Systems Specialist - Material Logistics Management

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 7 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

The Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.

Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

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