ZipRecruiter

Log In

1

Hourly Data Analytics Jobs in Canton, MI (NOW HIRING)

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

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

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

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

Technomics

Data Analyst

Troy, MI · On-site

Overview Technomics is a growing employee-owned, decision analytics company that provides ... Government client in developing data-driven solutions using Palantir Foundry and related ...

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Overview Technomics is a growing employee-owned, decision analytics company that provides ... Government client in developing data-driven solutions using Palantir Foundry and related ...

SupportFinity™

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

Prepare analytics reports in presentation form * Assist in developing sound data ETL practices and processes * Conduct research and analyze special studies when needed * Create and update ...

HCLTech

Data Analyst

Farmington Hills, MI · On-site

Must Have: * 2-3 years of experience in Data Analytics, Business Analytics, or a similar role. * Strong presentation and data storytelling skills, with the ability to communicate insights effectively ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

Required : • 3+ years of experience in data analytics or business intelligence • Strong SQL experience (Snowflake preferred) • Experience with SAS • Experience with Power BI or similar ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Data Strategy & Analytics * Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing). * Builds and maintains data ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Data Strategy & Analytics * Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing). * Builds and maintains data ...

next page

Showing results 1-20

All JobsHourly Data Analytics JobsHourly Data Analytics Jobs in Canton, MI

Hourly Data Analytics information

See Canton, MI salary details

$22

$50

$87

How much do hourly data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for hourly data analytics in Canton, MI is $50.74, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $57.50 per hour, depending on experience, location, and employer.

What is 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 Canton, MI?

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

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

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

Hourly Data Analytics jobs near you

Data Analytics Systems Specialist - Material Logistics Management

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 5 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

The Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.

Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply