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

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 ...

Data Analyst #1058274 ... We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

HIM Systems Analyst

Lansing, MI · On-site

$31.01 - $48.84/hr

Identifies areas of improvements and processes through data analysis and designs innovative ... Actual hourly rate dependent upon experience. $31.01 - $48.84 We care about your well-being - mind ...

Power BI Intern

Lansing, MI · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. * Participates in creating data pipelines and ETL workflows to ...

Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. * Participates in creating data pipelines and ETL workflows to ...

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or ...

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or ...

Facets Analyst

Lansing, MI · Remote

$95K - $98K/yr

Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis, defect resolution, testing, and implementation activities. * Review claims data and system outputs ...

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Hourly Data Analytics information

See Portland, MI salary details

$20

$45

$77

How much do hourly data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for hourly data analytics in Portland, MI is $45.07, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $51.06 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 cities near Portland, MI are hiring for Hourly Data Analytics jobs?

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

$78K - $98K/yr

Full-time

Re-posted 22 days ago


Job description

Senior Data Analyst
Who we are…
We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment where collaboration, curiosity, and camaraderie thrive. We also enjoy darts, cornhole, ping-pong, chili cook-offs, and other fun events that makes our company a community where we make a life, not just a living.
Who you are…
You are a data-driven problem solver who enjoys transforming raw information into clear, actionable insights. You thrive in collaborative environments, ask great questions, and enjoy gaining deep understanding of how various processes work.
You are skilled at building dashboards, modeling data, and clarifying the story behind the numbers. You love designing reports that real people rely on every day and you care about data accuracy, structure, and usability. Words that describe you are analytical, curious, precise, proactive, and customer-focused.
What you can expect to work on…
The Senior Data Analyst serves as the primary owner of analytics, reporting, and data insights across the organization. This role blends business-facing analysis with technical data modeling to support various teams.
The Senior Data Analyst develops Power BI dashboards, performs advanced analysis, improves data accessibility, and builds repeatable workflows using Power Apps, Power Automate, and SQL. The role partners closely with subject matter experts to define reporting requirements, translate operational needs into analytics solutions, and promote consistent use of data across Niowave.
  • Develop, maintain, and optimize Power BI dashboards, reports, and datasets for cross-functional teams
  • Build semantic models, DAX measures, dataflows, and reusable data structures
  • Translate operational and quality requirements into reliable and audit-ready analytics outputs
  • Write SQL queries to extract, transform, and analyze data from internal systems
  • Perform data validation, cleansing, and consistency checks
  • 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, Integrity, and Upright Zeal
  • Understands how to integrate into a new team/organization – appreciates the history of current state, know how and when to make suggestions, as well as using just the right pace to reach the improved future state
  • Understands your own communication and learning styles, can assess others’ styles, and is able to find the right path to best connect with colleagues
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related technical field; or equivalent experience
  • 8+ years of experience in data analytics, business intelligence, or a related field
  • Advanced proficiency with Power BI, including DAX, data modeling, and dataflows
  • Strong SQL skills for querying and transforming data
  • Experience with Power Apps and Power Automate
  • Experience building reports using data from SharePoint, MasterControl, or similar platforms
  • Experience with Azure SQL and/or Azure analytics tools at the user level
  • Ability to document analyses, models, and workflows clearly
Great to have…
  • 10+ years of experience in data analytics, business intelligence, or a related field Experience supporting analytics in regulated, manufacturing, or laboratory environments
  • Experience preparing data requirements for ERP implementations
  • Familiarity with MasterControl reporting structures
  • Experience with Python for analysis or automation
Other things to know…
  • Full-time position
  • Niowave’s standard operating hours are Monday – Friday 6:00 a.m. – 6:00 p.m. with production related activities requiring 24/7/365 shifts
  • This position will have regular working hours during Monday - Friday with an expectation of adjusting to working outside of the standard operating hours as needed
  • Niowave has multiple locations within the Lansing area and travel between locations is expected in the role
Please provide a cover letter specifically describing the nature of your background and experience as it relates to this position.