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Remote Part Time Data Analytics Jobs in Dearborn Heights, MI

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Remote Part Time Data Analytics information

See Dearborn Heights, MI salary details

$22

$50

$87

How much do remote part time data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote part time data analytics in Dearborn Heights, MI is $50.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $57.21 per hour, depending on experience, location, and employer.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What job categories do people searching Remote Part Time Data Analytics jobs in Dearborn Heights, MI look for?

The top searched job categories for Remote Part Time Data Analytics jobs in Dearborn Heights, MI are:

What cities near Dearborn Heights, MI are hiring for Remote Part Time Data Analytics jobs?

Cities near Dearborn Heights, MI with the most Remote Part Time Data Analytics job openings:

Infographic showing various Remote Part Time Data Analytics job openings in Dearborn Heights, MI as of August 2026, with employment types broken down into 100% Part Time. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $105,031 per year, or $50.5 per hour.

Quantitative Research Intern

Allen Park, MI • Remote

Detroit Lions
Spectator Sports • 51 - 200 employees

Part-time, Internship

Posted 6 days ago


Job description

The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.

Qualifications

  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Ability to build statistical models in R or Python required
  • Coursework in statistics and/or machine learning required
  • Strong quantitative intuition
  • Self-directed, proactive, and able to work independently

Optional Supplemental Materials

  • If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

Time Commitment

This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.