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Entry Level Data & Analytics Jobs in Michigan (NOW HIRING)

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Entry Level Data Analytics information

See Michigan salary details

$28.8K

$71.1K

$122K

How much do entry level data & analytics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level data & analytics in Michigan is $71,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $84,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Entry Level Data & Analytics professional?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
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 job categories do people searching Entry Level Data & Analytics jobs in Michigan look for? The top searched job categories for Entry Level Data & Analytics jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Data & Analytics jobs? Cities in Michigan with the most Entry Level Data & Analytics job openings:

Internal Audit Analyst, Corporate Internal Audit

NSF

Ann Arbor, MI โ€ข On-site

Full-time

Posted 13 days ago


Job description

The Internal Audit Analyst is an entry-level role within the Corporate Internal Audit function. This position supports the development and execution of risk-based audit activities, including risk assessment support, audit planning, fieldwork, testing, documentation, reporting, and follow-up. In addition, the analyst will contribute to the continued development of audit tools, templates, issue tracking, process documentation, reporting formats, and repeatable audit practices. The role is well-suited for a highly organized, curious, and coachable professional who seeks broad exposure to business processes, internal controls, risk management, and governance while contributing to the continued maturity of the function

With a legacy spanning more than 80 years, NSF leverages science and innovation to improve human and planet health. We provide science-driven, independent testing, inspection, certification, and advisory services and develop the very standards that drive the food, water, and life sciences industries worldwide. We empower our clients to navigate shifting regulations to improve consumer health, safety, and quality of life.

One of our core values is We Are One NSF. This means that while we're one team, we embrace the cultural, ethnic, language, and demographic diversity that reflects the societies in which we live and work.

Come join a team that makes a difference in the world. More information about NSF can be found at nsf.org.

NSF is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

Notice to Agency and Search Firm Representatives: Please note that NSF is not accepting unsolicited resumes from agencies/search firms for this role. Resumes submitted to an NSF employee by a third-party agency without a valid written & signed search agreement between NSF and said third-party agency will become the sole property of NSF. No fee will be paid if a candidate is hired as a result of an unsolicited agency or search firm referral. Thank you.

We are the guardians of NSF's assets. We are the keepers and providers of accurate and useful financial information which empowers careful and rational decision making. We do this so NSF may better advance its public health and safety mission.
  • Bachelor's degree in Accounting, Finance, Business Administration, or a related field.
  • Foundational knowledge of accounting, business processes, internal controls, risk management, or auditing concepts.
  • Strong analytical ability, intellectual curiosity, and willingness to learn how the business operates.
  • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and data analytics tools.
  • Excellent organizational, analytical, and problem-solving skills.
  • Effective written and verbal communication abilities.
  • Ability to work independently and as part of a collaborative team.
  • High level of professionalism, discretion, and ethical conduct.

Preferred Qualifications

  • Internship, co-op, or early-career experience in internal audit, external audit, accounting, finance, compliance, risk management, or related business operations.
  • Interest in pursuing professional certifications such as Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or similar.
  • Familiarity with audit software and data visualization tools.
  • Exposure to ERP systems, financial reporting processes, operational processes, or compliance-related activities.
  • Audit Planning and Risk Assessment Support: Assist with maintaining the audit universe, gathering risk information, preparing planning materials, and developing audit programs aligned to engagement objectives, scope, and methodology.
  • Fieldwork Execution: Conduct interviews, review documentation, and perform walkthroughs of processes to gain a thorough understanding of business operations. Gather, analyze, and interpret data to identify trends, anomalies, and risks.
  • Internal Controls Evaluation: Assess the design and operating effectiveness of controls over financial, operational, compliance, and governance-related processes. Document control gaps and help develop practical, business-focused recommendations.
  • Testing and Sampling: Execute control and substantive testing using defined procedures, maintain clear and organized workpapers, and ensure conclusions are supported by appropriate evidence.
  • Reporting Support: Draft audit observations, workpaper summaries, and report sections for review. Help ensure audit results are clear, concise, fact-based, and constructive.
  • Issue Tracking and Remediation Follow-Up: Maintain issue tracking information, monitor management action plans, and assist with validating whether corrective actions have been completed and are operating as intended.
  • Collaboration and Communication: Build professional working relationships with stakeholders across departments. Ask thoughtful questions, listen actively, and communicate audit requests and results clearly and respectfully.
  • Continuous Improvement: Support the development of practical audit methodology, identify opportunities to improve audit processes, and stay informed of internal audit standards, control concepts, business risks, and emerging practices.
  • Ethics and Confidentiality: Uphold the highest standards of professionalism, integrity, and confidentiality in handling sensitive information. Adhere to the organization's code of conduct and ethical requirements.
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