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Hourly Data Analytics Jobs in Michigan (NOW HIRING)

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Develop and deliver standardized and ad hoc dashboards, reports, and performance analytics (budget-focused) * Analyze structured and unstructured data to extract insights for business decision-making

This pivotal role is ideal for candidates with a robust background in data analytics for engineering who are seeking to continue their career in the automotive industry. Responsibilities: * Safety ...

Design and implement analytics solutions that support decision-making and performance tracking * Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies * Deliver ...

... Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

The Data Analyst will turn complex operational and packaging data into actionable insights that ... Enable future-state analytics capabilities, including segmentation, forecasting, and predictive ...

New

The Data Analyst will turn complex operational and packaging data into actionable insights that ... Enable future-state analytics capabilities, including segmentation, forecasting, and predictive ...

New

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Build analytics and dashboards using data from MasterControl, SharePoint, and other internal platforms What you need to succeed... * Embraces and models the Niowave Core Values of Teamwork, Courage ...

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Hourly Data Analytics information

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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 with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Michigan? The most popular types of Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Hourly Data Analytics jobs? Cities in Michigan with the most Hourly Data Analytics job openings:
Engineering Data Analytics Specialist

Engineering Data Analytics Specialist

Insight Global

Dearborn, MI • On-site

$25/hr

Contractor

Medical, Dental, Vision

Posted 18 days ago


Job description

 3+ years of experience in Data Analysis, Reporting, Engineering Analytics

• Experience supporting:

              • Engineering organizations
              • Manufacturing organizations
              • Automotive organizations
              • Product Development organizations

• Experience managing large datasets.
              • Experience creating executive-level reports and dashboards.
              • Experience developing reporting metrics and analytics tools.
              • Experience supporting cross-functional teams and project activities.

Plusses:

• Automotive industry experience.
• Powertrain engineering support experience.
• Experience supporting Technical Value Management (TVM) initiatives.
• Experience supporting cost-reduction programs.
• Experience with advanced Power BI development.
• Experience using Power Query and DAX.
• Experience with workflow automation tools.
• Experience utilizing AI-driven reporting and analytics solutions.

Job Summary:

The Engineering Data Analytics Specialist supports Technical Value Management (TVM) initiatives across powertrain engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support. The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise, advanced analytical skills, and the ability to transform large datasets into executive-level reporting and business intelligence tools.

Responsibilities:

Data Analytics & Reporting

              • Analyze engineering and cost-related datasets.

              • Perform data mining and trend analysis.

              • Create executive-level visualizations and reports.

              • Develop standardized metrics and KPI reporting systems.

              • Improve reporting methodologies and data visibility.

Power BI & Dashboard Development

              • Develop and maintain Power BI dashboards.

              • Automate reporting processes.

              • Support reporting efficiency initiatives.

              • Create business intelligence tools for engineering organizations.

Program Tracking & Coordination

              • Track cost-saving initiatives and project milestones.

              • Support engineering review meetings and status reporting.

              • Monitor implementation progress.

              • Coordinate with engineering, manufacturing, product development, and program teams.

Data Management & Continuous Improvement

              • Maintain data integrity and validate data accuracy.

              • Develop reporting metrics and analytics tools.

              • Support cross-functional teams and project activities.



Compensation: $25/hour

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.