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Data Analyst Jobs in Jackson, MI (NOW HIRING)

Tech Tammina LLC

Data Analyst II

Jackson, MI · On-site

Data Analyst II Location: Jackson, MI (Onsite/ Hybrid) Duration: Long term Rate: Market Duties: · We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer ...

Tech Tammina LLC

Jr. Data Analyst

Jackson, MI · On-site

Role: Jr. Data Analyst Location: Jackson, MI (Hybrid) Duration: Long term Rate: Market Responsibilities: Build and maintain SharePoint Online lists and libraries Design and develop interactive ...

All JobsData Analyst JobsData Analyst Jobs in Jackson, MI

Data Analyst information

See Jackson, MI salary details

$30.9K

$75.2K

$123.7K

How much do data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst in Jackson, MI is $75,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Jackson, MI? The most popular types of Data Analyst jobs in Jackson, MI are:
What job categories do people searching Data Analyst jobs in Jackson, MI look for? The top searched job categories for Data Analyst jobs in Jackson, MI are:
What cities near Jackson, MI are hiring for Data Analyst jobs? Cities near Jackson, MI with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Jackson, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $75,187 per year, or $36.1 per hour.

Data Analyst II

Tech Tammina LLC

Jackson, MI • On-site

Contractor

Re-posted 22 days ago

Job description

Role: Data Analyst II

Location: Jackson, MI (Onsite/ Hybrid)

Duration: Long term

Rate: Market

Duties:

·       We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer (VoC) organization.

·       This role is essential to building a strong data foundation that enables data-driven decision-making across the enterprise.

·       The ideal candidate will be responsible for identifying, collecting, and consolidating data from various internal sources, and working closely with cross-functional teams to ensure outputs are translated into meaningful insights that support strategic initiatives and enhance the customer experience.

 

RESPONSIBILITIES

·       Identify and gather data from multiple sources across the organization to support VoC initiatives.

·       Assess gaps and inefficiencies in current data processes; recommend and implement improvements.

·       Establish standards and best practices for data collection and consolidation.

·       Work cross-functionally to ensure data output aligns with business needs and can be translated into actionable insights.

·       Maintain and manage data integrity across systems and reports.

·       Support the development of dashboards, reports, and presentations that clearly communicate findings

 

Skills:

  • Proven experience working with diverse data sources and large datasets.
  • Proficient in Excel, including the use of macros for data analysis.
  • Experience with other data analysis tools such as Google Sheets, Tableau, and Power BI is a plus..
  • Experience working in Voice of Customer team is preferred but not required.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and interpersonal skills; ability to build relationships across departments.
  • Experience in establishing data standards and improving data processes is a plus.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Comfortable navigating ambiguity and driving clarity through structured analysis.