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Entry Level Data Analyst Reddit Jobs in Michigan

Data Protection, A/SA-Evergreen

Detroit, MI · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

AI, Analytics, Automation & Data Services - focused on helping organizations modernize data ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

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Entry Level Data Analyst Reddit information

What does an entry level data analyst at Reddit do?

An Entry Level Data Analyst on Reddit is responsible for gathering, organizing, and analyzing data to help inform decisions and optimize user experiences on the platform. They work with large datasets to identify trends, create reports, and support various teams by providing actionable insights. Common tasks include cleaning data, building dashboards, and assisting with data-driven projects. This role often requires proficiency in tools like Excel, SQL, and sometimes Python or R, as well as strong analytical and communication skills.

What are the key skills and qualifications needed to thrive as an entry level data analyst?

To succeed as an Entry Level Data Analyst, you typically need a solid understanding of statistics, data interpretation, and proficiency with Excel, often supported by a degree in a quantitative field. Familiarity with analytical tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is commonly expected. Strong problem-solving, attention to detail, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and actionable insights for business decision-making.

What are some common challenges entry level data analysts at Reddit might face when working with large datasets?

Entry Level Data Analysts at Reddit often encounter challenges such as cleaning and organizing large, unstructured datasets, which can be time-consuming and require strong attention to detail. They may also need to learn Reddit-specific data tools and adapt to rapidly changing project requirements in a fast-paced tech environment. Collaboration with engineers, product managers, and other analysts is frequent, so developing strong communication skills is essential for effectively sharing insights and recommendations.

What is the difference between Entry Level Data Analyst Reddit vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; basic SQL and Excel skillsBachelor's or higher in Data Science, Computer Science, or related; knowledge of programming languages like Python or R
Work EnvironmentOffice or remote; focus on data reporting and visualizationOffice or remote; involves advanced modeling and machine learning
Employer & Industry UsageBusiness, finance, marketing; entry-level roles in various industriesTech, finance, healthcare; more specialized roles requiring technical skills

Entry Level Data Analysts typically handle data reporting, cleaning, and visualization with basic tools, while Data Scientists work on complex modeling and predictive analytics using advanced programming. The roles differ mainly in technical depth and scope, but both are essential in data-driven organizations.

What are the most commonly searched types of Data Analyst Reddit jobs in Michigan?

The most popular types of Data Analyst Reddit jobs in Michigan are:

What are popular job titles related to Entry Level Data Analyst Reddit jobs in Michigan?

For Entry Level Data Analyst Reddit jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst Reddit jobs in Michigan look for?

The top searched job categories for Entry Level Data Analyst Reddit jobs in Michigan are:

Infographic showing various Entry Level Data Analyst Reddit job openings in Michigan as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

End of Line Data Analyst & NVH Solution Set Developer

Auburn Hills, MI • On-site

$60 - $80/hr

Other

Posted 7 days ago


Job description

The End of Line (EOL) Data Analyst & NVH Solution Set Developer is an entry-level to early-career role focused on using Minitab, Microsoft Excel, and structured data analysis to support the monitoring, analysis, and improvement of production end-of-line data systems. In this role, you will develop interim and permanent corrective action solution sets for complex noise, vibration, and harshness (NVH) challenges. You will partner with engineering, manufacturing, quality, calibration, validation, and plant operations teams to ensure EOL data is accurate, actionable, and effectively used to identify trends, resolve issues, and drive continuous improvement.

Key Responsibilities
  • Develop data-driven interim and permanent corrective action solution sets for complex noise and vibration challenges based on EOL data trends, statistical analysis, NVH findings, root-cause inputs, and cross-functional engineering feedback.

  • Monitor daily end-of-line test results, production data, and summary reports to identify statistically significant trends, recurring failure modes, population shifts, and emerging quality concerns.

  • Translate EOL and NVH analysis into practical containment actions, test adjustments, process recommendations, issue-screening logic, and longer-term corrective action paths.

  • Utilize Microsoft Excel and Minitab to analyze EOL test stand and production measurement datasets, emphasizing trend analysis, population comparisons, control charts, capability studies, and pass/fail performance.

  • Perform basic to intermediate statistical analysis, including data sorting, filtering, pivot tables, summary statistics, distribution reviews, outlier checks, control limits, process capability, regression, and variation studies.

  • Support the development and maintenance of dashboards, Excel-based trackers, Minitab studies, reports, and data visualization tools that communicate EOL performance to plant stakeholders.

  • Assist with EOL limit setting and validation by reviewing population statistics, measurement variation, normality, capability, control chart behavior, false-fail risk, and pass/fail margins.

  • Work with engineering and manufacturing teams to validate measurement outputs and support proper interpretation of EOL results.

  • Provide timely analysis and supporting data during launch, production ramp-up, quality spills, audit findings, and issue resolution activities.

  • Document analysis methods, reporting processes, lessons learned, and standard work for repeatable EOL data review.

Work Arrangement:

On-site / Plant-facing - travel to plants is required

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