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Hourly Data Analyst Jobs in Michigan (NOW HIRING)

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

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Hourly Data Analyst information

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$29.6K

$72K

$118.5K

How much do hourly data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for hourly data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What is an hourly data analyst?

An Hourly Data Analyst is a professional who is hired on an hourly basis to collect, process, and interpret data to help organizations make informed decisions. Their tasks often include cleaning data, running analyses, creating reports, and visualizing results using tools like Excel, SQL, or specialized analytics software. Hourly Data Analysts may work on short-term projects or provide ongoing support, depending on the employer's needs. This flexible arrangement can be ideal for companies with fluctuating workloads or specific analytical projects.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant educational background such as a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving skills, and effective communication help you present insights clearly and work collaboratively with teams. These skills are crucial for transforming raw data into actionable information that supports informed decision-making.

What are some common challenges hourly data analysts face when managing multiple data projects simultaneously?

Hourly Data Analysts often juggle several projects at once, which can make prioritizing tasks and meeting tight deadlines challenging. Effective time management and clear communication with project stakeholders are key to staying organized and ensuring data quality. Additionally, since analysts may work across departments, adapting to different data systems and reporting requirements is common. Building strong collaboration skills and proactively seeking clarification on project goals can help navigate these challenges successfully.

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

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

What cities in Michigan are hiring for Hourly Data Analyst jobs?

Cities in Michigan with the most Hourly Data Analyst job openings:

Senior Data Analyst, Data & Systems

The Contingent Plan

Auburn Hills, MI • On-site

$81K - $102K/yr

Contractor

Re-posted 28 days ago


Job description


The Contingent Plan is actively recruiting a senior data analyst for a global company in the Auburn Hills area. This is a hybrid role with some need to be in the office. The contract position is expected to last 9 months at this time. The role is an immediate need and the client will move quickly with the right candidate. Sorry, no sponsorship is available at this time.
Responsibilities:
• Serve as link between data, systems, and provide process support for system SMEs to gain input/knowledge on key systems data
• Develop functional requirements for system spilt
• Understand and evaluate IT proposals to perform functional/logical or physical split
• Provide functional support to internal IT (for homegrown systems) and IT providers (for 3rd party software
• Define and perform testing scenarios for split systems: functionalities Escalate to SME in case of need
• Work with big sets of master data and split them up between business units according to the agreed split criteria/rules
• Meet project milestones
• Work closely with the PM, SME, Global leads, and third party Software Vendors' technical resources.
Requirements
  • Bachelor's degree in computer science, information systems, data, or related field.
  • At least 5 years of experience in data analytics, data science, or systems management
  • Prior experience working with global companies and geographically dispersed teams
  • Advanced understanding of data management and visualization practices
  • Able to be in the office 2 to 3 days a week
  • Capable of completing the engagement
  • Able to pass all required background checks