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Data Analytics Jobs in Fenton, MI (NOW HIRING)

Hylant

Lead Data & Analytics Architect

Detroit, MI · On-site

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

SoTalent

AI & Data Solutions Analyst

Auburn Hills, MI · On-site

Hybrid Are you passionate about applying AI, analytics, and process automation to improve safety, compliance, and operational decision-making? We are seeking an AI & Data Solutions Analyst to support ...

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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 ...

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All JobsData Analytics JobsData Analytics Jobs in Fenton, MI

Data Analytics information

See Fenton, MI salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Fenton, MI is $49.42, according to ZipRecruiter salary data. Most workers in this role earn between $39.71 and $55.96 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 job categories do people searching Data Analytics jobs in Fenton, MI look for? The top searched job categories for Data Analytics jobs in Fenton, MI are:
What cities near Fenton, MI are hiring for Data Analytics jobs? Cities near Fenton, MI with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Fenton, MI as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,793 per year, or $49.4 per hour.

Data Analytics Specialist - Employee Relations

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 21 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Stellantis is seeking a Data Analytics Specialist to develop analytical tools and insights that improve workforce attendance, support operational performance, and strengthen Employee Relations decision-making.
The primary focus of the role is attendance and absenteeism analytics. The successful candidate will partner with Employee Relations, Manufacturing, IT, and other functions to consolidate data, identify trends and root causes, and translate findings into actionable recommendations.
Primary Responsibilities
  • Analyze attendance, absenteeism, operational performance, employee engagement, and related Employee Relations issues.
  • Collect, cleanse, integrate, validate, and analyze data from multiple sources.
  • Develop and improve recurring absenteeism reports, dashboards, scorecards, and key performance indicators.
  • Identify trends, root causes, emerging risks, and predictive indicators affecting workforce availability and business performance.
  • Translate analytical findings into clear recommendations for Employee Relations and Manufacturing leadership.
  • Apply statistical analysis, machine learning, artificial intelligence, and data visualization to support business decisions.
  • Build and maintain repeatable data pipelines, datasets, queries, and analytical tools.
  • Use advanced Microsoft Excel, Access, Power Query, SQL, and related technologies to prepare data, automate reporting, and improve analytical efficiency.
  • Communicate findings through concise visualizations, presentations, and executive summaries.

Basic Qualifications
  • Bachelor's degree, or anticipated completion of a bachelor's degree, in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field
  • A minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projects
  • Advanced proficiency in Microsoft Excel, Access, Power Query, and SQL
  • Experience integrating, cleansing, validating, and analyzing data from multiple sources
  • Working knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard development
  • Ability to translate complex data into practical business recommendations
  • Strong communication, problem-solving, and cross-functional collaboration skills
  • Experience with benchmarking and performance comparisons
  • Strong presentation and data-storytelling skills

Preferred Qualifications
  • Master's degree, or equivalent experience, in a quantitative field
  • Five or more years of experience delivering data science or advanced analytics projects
  • Experience in attendance, workforce, manufacturing, operational, employee, or customer analytics
  • Proficiency in Python or R and experience with predictive modeling or data mining
  • Experience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power Automate
  • Knowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change management

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