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Remote Entry Level Data Analyst Jobs in Michigan

ITPA11 - Business Analyst

Lansing, MI · On-site +1

$24.32 - $44.63/hr

Permanent Full Time Remote Employment: Flexible/Hybrid Job Number: 0801-26-21-126AM Department ... data to DHHS according to MDHHS VERA automated processes, data integrity, and securing MDHHS ...

$39.50 - $54.50/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

Analyst Charge-RIO (Remote)

Livonia, MI · On-site +1

$21.52 - $32.28/hr

Purpose Work Hours- Must be willing to work a rotating weekend every six weeks Work Remote Position ... Data Management & Analysis: Research & compiles information to support ad-hoc operational projects ...

Strong attention to detail and ability to organize and analyze data accurately. * Ability to work effectively in a fully remote environment. Preferred Qualifications * Experience supporting ERP ...

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Remote Entry Level Data Analyst information

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$11

$28

$53

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

As of Aug 29, 2026, the average hourly pay for remote entry level data analyst in Michigan is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $32.07 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What are the key skills and qualifications needed to thrive as a remote entry level data analyst?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

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

The most popular types of Remote Data Analyst jobs in Michigan are:

What are popular job titles related to Remote Entry Level Data Analyst jobs in Michigan?

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

What job categories do people searching Remote Entry Level Data Analyst jobs in Michigan look for?

The top searched job categories for Remote Entry Level Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Entry Level Data Analyst jobs?

Cities in Michigan with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 3% Internship, 81% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,693 per year, or $28.7 per hour.

Special Investigations Unit Data Analyst

Okemos, MI • Remote

Delta Dental of Michigan
Insurance Services • 501 - 1,000 employees

Full-time

Medical, Dental

Posted 21 days ago


Job description

Job Title:

Special Investigations Unit Data Analyst

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Fully Remote

Job Summary:

Candidates must reside in Michigan within a reasonable commuting distance of our Okemos, MI office for team meetings, collaborative sessions, and training.

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.

At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To administer data driven activities by transforming raw data into actionable information.

Primary Job Responsibilities:

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and end-to-end analytical research to support Professional Review program integrity initiatives, including defining objectives, selecting and evaluating data sources, determining methodologies, performing analysis and testing, conducting quality assurance, and interpreting findings.

  • Investigates internal and external referrals, performs provider research and preliminary investigative reviews, substantiates referral activity, documents work in the appropriate case management system, and analyzes provider billing, utilization, and treatment patterns to identify outliers, emerging trends, potential fraud, waste, and abuse activity, and other areas requiring monitoring or intervention.

  • Develops recommendations regarding provider placement on or removal from Focused Review; maintains associated provider status, tracking, documentation, and follow-up records; and prepares and sends welcome and removal letters and related provider communications.

  • Creates, maintains, and enhances dashboards, databases, monitoring reports, analytic tools, scripts, and repeatable processes that support operational oversight, program integrity initiatives, performance measurement, leadership decision-making, recurring reporting, and automated analytical workflows.

  • Collects, transforms, cleanses, validates, organizes, troubleshoots, and resolves data, reporting, database, and system issues to support analysis-ready data, consistent definitions across sources, and data availability, usability, integrity, and reporting effectiveness.

  • Tracks, analyzes, and reports on denial trends, overpayments, provider performance metrics, fraud, waste, and abuse activity, and other key program integrity indicators while supporting program integrity initiatives, audits, regulatory requests, RFP responses, and special projects through data gathering, analysis, response preparation, and recommendations.

  • Serves as a consultant and subject matter resource for internal and external stakeholders by translating business needs, reporting questions, research requests, needs assessments, case studies, and related analytic deliverables into clear insights that support monitoring activities, operational improvement, and strategic decision-making.

  • Leads or supports Special Investigations Unit and program integrity meetings by developing agendas, documenting meeting minutes, reviewing provider billing and treatment patterns, and tracking follow-up items through completion.

#LI-Remote

Minimum Requirements:

Position requires a bachelor's degree in computer science, information systems, business administration or a related field and three years of experience performing data analytics in a business setting. Will accept any suitable combination or education, training, or experience.

Position requires general knowledge of insurance business, the claims processing system and other business applications; the ability to use data extraction and analysis tools, such as Microsoft Excel, Access, PowerPoint, Oracle Discoverer, ACL and others; strong communication skills; and the ability to resolve problems and use independent judgment.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.