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Data Analytics Jobs in Rochester Hills, MI (NOW HIRING)

Participate in quarterly analytics reviews, weekly operational meetings, and vendor calls. * Assist ... Provide data-driven support for forecasting, scheduling audits, and strategy development.

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

You'll play a crucial role in improving procurement performance through world-class reporting, data management, and analytics, while also delivering data-driven insights, modeling key performance ...

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage ...

By combining deep industry expertise with advanced analytics and artificial intelligence, we enable ... The Data Analyst is responsible for developing and delivering high-quality analytical insights that ...

By combining deep industry expertise with advanced analytics and artificial intelligence, we enable ... The Data Analyst is responsible for developing and delivering high-quality analytical insights that ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to lead discussions with internal and external customers. * Must be able to take charge and drive results ...

This is a great opportunity for someone early in their analytics career who's eager to grow their technical skills and apply data to real business questions. RESPONSIBILITIES • Analyze performance ...

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a storyteller, you'll collect data from various sources to guide strategic decisions and support our transition to advanced analytics platforms. About therole * Identify and communicate patterns ...

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Data Analytics information

See Rochester Hills, MI salary details

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$86

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Rochester Hills, MI is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $57.07 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 Rochester Hills, MI? The most popular types of Data Analytics jobs in Rochester Hills, MI are:
What are popular job titles related to Data Analytics jobs in Rochester Hills, MI? For Data Analytics jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Rochester Hills, MI look for? The top searched job categories for Data Analytics jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Data Analytics jobs? Cities near Rochester Hills, MI with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,815 per year, or $50.4 per hour.

Senior Data Analyst, Data & Systems

The Contingent Plan

Auburn Hills, MI • On-site

$81K - $102K/yr

Contractor

Re-posted 19 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