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Data Support Analyst Jobs in Farmington, MI (NOW HIRING)

This role also focuses on analyzing program data, identifying trends, resolving recurring issues through root cause analysis, and supporting process improvement initiatives. The ideal candidate is ...

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

Use data to support and challenge business solutions with stakeholders, particularly our product teams * Identify, document, and use exploratory data analysis to investigate assumptions around ...

The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information. The individual will work with technical teams ...

The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information. The individual will work with technical teams ...

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Manage distribution of critical budget files on a weekly/monthly basis and support ongoing budget ...

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Data Support Analyst information

See Farmington, MI salary details

$13

$36

$71

How much do data support analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data support analyst in Farmington, MI is $36.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $43.99 per hour, depending on experience, location, and employer.

What is a data support analyst?

A Data Support Analyst is a professional responsible for managing, analyzing, and troubleshooting data within an organization. They ensure that data systems run smoothly, assist users with data-related issues, and help maintain the quality and integrity of data. Data Support Analysts often work with databases, generate reports, and support business operations by providing insights from data. Their role bridges the gap between IT and business teams, ensuring data is accessible, accurate, and secure.

What are the key skills and qualifications needed to thrive as a data support analyst?

To thrive as a Data Support Analyst, you need strong analytical skills, attention to detail, and a background in data management, often supported by a degree in information technology, computer science, or a related field. Familiarity with database systems (like SQL), data visualization tools (such as Tableau or Power BI), and ticketing systems is typically required. Excellent problem-solving abilities, communication skills, and customer service orientation help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, resolving user issues efficiently, and supporting data-driven decision-making within organizations.

How does a data support analyst typically collaborate with other departments within an organization?

Data Support Analysts frequently work with teams such as IT, business operations, and data engineering to troubleshoot data issues, clarify requirements, and ensure data accuracy. They often act as a bridge between technical staff and business users, translating data needs and troubleshooting requests. Effective communication and collaboration are essential, as you may be called upon to participate in cross-functional meetings, assist in data integration projects, and support end-users in understanding data reports or dashboards.

What is the difference between Data Support Analyst vs Data Analyst?

AspectData Support AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Certified Data Analyst or Tableau
Work EnvironmentSupport teams, IT departments, data management systemsData-driven departments, business intelligence teams, analytics departments
Employer & Industry UsageIT firms, finance, healthcare, retailMarketing, finance, consulting, research

The Data Support Analyst primarily focuses on maintaining data systems, troubleshooting issues, and supporting data infrastructure. In contrast, the Data Analyst interprets data, creates reports, and provides insights for decision-making. While both roles require technical skills and data knowledge, their core responsibilities differ, with the Data Support Analyst emphasizing system support and the Data Analyst emphasizing data analysis and reporting.

Is a data support analyst well paid?

Data support analysts typically earn a competitive salary that varies by experience, location, and industry. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can command higher pay. Overall, it is considered a well-paying role within the data and IT fields.

What are popular job titles related to Data Support Analyst jobs in Farmington, MI?

For Data Support Analyst jobs in Farmington, MI, the most frequently searched job titles are:

What job categories do people searching Data Support Analyst jobs in Farmington, MI look for?

The top searched job categories for Data Support Analyst jobs in Farmington, MI are:

Infographic showing various Data Support Analyst job openings in Farmington, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $75,921 per year, or $36.5 per hour.

Application Support Analyst

LibSys Inc

Ann Arbor, MI

Full-time

Re-posted 19 days ago


Job description

Job Description

Postion: Application Support Analyst

Location: Ann Arbor, MI

Duration: 6+ Months Contract


Must Have:

Experience handling transaction databases and transaction processing applications at the second tier level

SQL query writing to research, debug, and submit statements for DBA execution for data changes

Experience with a ticket handling system (such as JIRA)

Experience with working with remote users for transaction processing application debugging. 

Responsibilities: 

Support Analyst for Custome application.

Continually identify ways to improve support and decrease unnecessary support calls. Identify improvements to applications, processes, and business logic to meet user needs and communicate to the project lead.  

Perform data analysis tasks with SQL/Toad in order to trouble shoot errors and user questions. Work with the development team to analyze the data when necessary and promptly follow up with the user.

Create training documents and conduct periodic training for selected system super users in different business areas.

Monitor the daily jobs outputs for the applications to ensure that any errors are addressed immediately by coordinating with the project lead and communicate to the respective user groups impacted.

Deliver a high level of customer service to all users and continuous communication.

Assist with testing new application functions and work with project leads to communicate the changes in the software to the appropriate group of users.

Required Qualifications:

Bachelor's degree

A minimum of two (2) years' experience working in application support environment with custom or out of the box applications.

Excellent written and verbal communication skills.

Ability to work in a fast paced environment, ability to multi-task and work with multiple users.

Strong interpersonal, problem solving and analytical skills.

Well organized and good customer service skills.


Preferred Qualifications:

Bachelor's degree in information systems or a related area of study

Three (3) years or more experience working with custom application support.

Experience with supporting Oracle E-Business Suite.

Experience with training content creation tools and conducting application training.

Experience with communicating technical design in non-technical terms to users.

Experience with application testing and writing/executing test plans.


Qualifications

strong sql

Additional Information

All your information will be kept confidential according to EEO guidelines.