ZipRecruiter

Log In

2

Remote Data Analytics Intern Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

CSAA

Support the development of AIenabled and automated analytics capabilities * Leverage Industry data ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Corning

$13.75 - $18.25/hr

The intern will work closely with IT teams, business stakeholders, and project leads to help ensure ... Exposure to or interest in AI tools, automation platforms, data analysis tools, or generative AI ...

CSAA

$79.50K - $105.20K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Blinqlabs

Java Web Development Intern

Farmington Hills, MI · On-site +1

$19 - $24.75/hr

Analysis of business requirements. * Full-stack solution design and development (database, APIs ... Good knowledge of algorithms and data structures. * Experience in Java programing language

next page

Showing results 1-20

People also search for

All JobsRemote Data Analytics Intern JobsRemote Data Analytics Intern Jobs in Michigan

Remote Data Analytics Intern information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Intern, and why are they important?

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by Remote Data Analytics Interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What does a Remote Data Analytics Intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are the most commonly searched types of Remote Data Analytics jobs in Michigan? The most popular types of Remote Data Analytics jobs in Michigan are:
What are popular job titles related to Remote Data Analytics Intern jobs in Michigan? For Remote Data Analytics Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Intern jobs in Michigan look for? The top searched job categories for Remote Data Analytics Intern jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Analytics Intern jobs? Cities in Michigan with the most Remote Data Analytics Intern job openings:
Remote Data Analytics Intern jobs near you
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 days ago

Job description

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

View All Ford Jobs

Apply