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Data Analytics Jobs in Jackson, MI (NOW HIRING)

Data analysis and decision making to support raw material supply and finished goods demand * Follow-up as required with all teams to expedite flow of materials and work orders to meet production ...

Experience in data analysis, data mining, and trend analysis * Demonstrated attention to detail * Excellent work ethic with ability to multi-task and manage changing priorities * Affinity for driving ...

Proficiency in ID''ing Test Scenarios, Creating and update Test cases, Test data, Executing test cases, Logging & Tracking Defects * Ability to effectively communicate with QA Analysts, Test Leads ...

Conduct data validation reviews and internal reconciliations. * Prepare weekly performance reports highlighting trends, gaps, or concerns. * Attend and document weekly meetings with internal ...

Dispatcher

Jackson, MI ยท On-site

Supports route planning, real-time adjustments, and operational efficiency-leveraging tools and data analysis to uphold performance and service metrics. Reports To Operations Supervisor Essential Job ...

Review technical data sheets and collaborate with suppliers on material performance and specifications * Assist with bill of material calculations and material composition analysis * Create and ...

Review technical data sheets and collaborate with suppliers on material performance and specifications * Assist with bill of material calculations and material composition analysis * Create and ...

Review technical data sheets and collaborate with suppliers on material performance and specifications * Assist with bill of material calculations and material composition analysis * Create and ...

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Data Analytics information

See Jackson, MI salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data analytics in Jackson, MI is $49.81, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $56.44 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What are the most commonly searched types of Data Analytics jobs in Jackson, MI?

The most popular types of Data Analytics jobs in Jackson, MI are:

What job categories do people searching Data Analytics jobs in Jackson, MI look for?

The top searched job categories for Data Analytics jobs in Jackson, MI are:

What cities near Jackson, MI are hiring for Data Analytics jobs?

Cities near Jackson, MI with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Jackson, MI as of August 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $103,603 per year, or $49.8 per hour.

Planner/Scheduler

Colson Group

Albion, MI โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description:

Colson Group USA is an operating unit of Colson Group, the largest manufacturer of caster and wheel products in the world. The brands of Colson Group USA have been technological leaders in caster innovation for over 350 combined years. This drive has led to some of the most trusted, advanced, and highest-quality mobility solutions available in the world today. Colson Group's unique and proprietary global footprint provides available services and capabilities unmatched by any other manufacturer.

Primary Responsibilities:

  • Work within Epicor to schedule production
  • Coordinate with Supervisors to maximize production
  • Schedule effectively with outside vendors and purchased components
  • Update customer orders with accurate shipping dates
  • Work with the sales team to meet customer requirements
  • Coordinate with sister plants on transfer orders
  • Analyze, prepare, and create schedules needed for production
  • Ensure daily production requirements are achieved to meet customer expectations
  • Data analysis and decision making to support raw material supply and finished goods demand
  • Follow-up as required with all teams to expedite flow of materials and work orders to meet production schedule and customer expectations
  • Complete status reports for production progress, work in process, and raw material inventory
  • Interact with shop floor management on a daily basis to resolve issues or gather additional information as requested from Manufacturing, Customer Service, and other cross functional departments
  • Coordinate with engineering on deviations to maintain the bill of operations and bill of materials