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Remote Data Analytics Graduate Jobs in Michigan (NOW HIRING)

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor\'s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

New

CSAA

  • Retirement

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

CSAA

  • Retirement

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Pursuit or completion of industry-relevant continuing education, including graduate degrees, MBS ...

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All JobsData Analytics Graduate JobsRemote Data Analytics Graduate JobsRemote Data Analytics Graduate Jobs in Michigan

Remote Data Analytics Graduate information

What are common challenges faced by remote data analytics graduates in their first role, and how can they overcome them?

Remote Data Analytics Graduates often encounter challenges such as adapting to virtual collaboration, managing time effectively without in-person oversight, and learning to communicate complex data insights clearly through digital channels. To overcome these, it's helpful to proactively schedule regular check-ins with mentors or team members, utilize collaborative tools like Slack or Microsoft Teams, and seek feedback on presentations and reports. Building strong self-management habits and engaging in online data analytics communities can also enhance both technical and communication skills while working remotely.

What is a remote data analytics graduate?

A Remote Data Analytics Graduate is someone who has recently completed a degree or certification in data analytics and works remotely, often from home or another non-office location. Their role typically involves collecting, processing, and analyzing data to help organizations make informed decisions. They use various tools and software to interpret data trends and present findings, collaborating with teams virtually. This position is ideal for graduates who are comfortable working independently and have strong analytical and technical skills.

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

AspectRemote Data Analytics GraduateRemote Data Analyst
Required CredentialsDegree in Data Science, Analytics, or related field; entry-level certificationsExperience with data tools; often requires certifications like SQL, Python, or Tableau
Work EnvironmentTypically entry-level, internship, or training roles; supervised environmentFull-time remote position; independent work with team collaboration
Employer & Industry UsageHiring companies seeking fresh talent; industry-wide entry rolesEstablished companies; industries like finance, marketing, tech

The main difference is that a Remote Data Analytics Graduate is an entry-level role suited for recent graduates, focusing on learning and development. In contrast, a Remote Data Analyst is a more experienced position requiring some practical skills and experience, often involving more independent work and project responsibilities.

What skills and qualifications are needed to thrive as a remote data analytics graduate?

To thrive as a Remote Data Analytics Graduate, you need a solid foundation in statistics, data analysis, and programming languages such as Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), spreadsheet software, and cloud-based analytics platforms is often expected. Strong problem-solving skills, attention to detail, and effective communication are vital for presenting insights and collaborating remotely. These skills are crucial for extracting actionable insights from data and contributing effectively to distributed teams.

What are the most commonly searched types of Data Analytics Graduate jobs in Michigan?

The most popular types of Data Analytics Graduate jobs in Michigan are:

What are popular job titles related to Remote Data Analytics Graduate jobs in Michigan?

For Remote Data Analytics Graduate jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Graduate jobs in Michigan look for?

The top searched job categories for Remote Data Analytics Graduate jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Analytics Graduate jobs?

Cities in Michigan with the most Remote Data Analytics Graduate job openings:

Remote Data Analytics Graduate jobs near you

Senior Staff Data Engineer

Stryker

Portage, MI • On-site, Remote

$255K/yr

Full-time

Posted 4 days ago

Job description

Work Flexibility: Remote

Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.

What You Will Do

  • Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
  • Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
  • Drive platform decisions related to performance optimization, scalability, and cost efficiency.
  • Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
  • Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
  • Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
  • Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
  • Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.

What You Will Need

Required Qualifications

  • Bachelor\'s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
  • Minimum 6 years of related data engineering and architecture experience.

Preferred Qualifications

  • Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen2.
  • Experience designing scalable data architectures using medallion or lakehouse patterns.
  • Experience with distributed data processing technologies, including Spark, SQL, and Python.
  • Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
  • Experience implementing data governance, metadata management, lineage, and data quality frameworks.
  • Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.
  • USN: $118,000 - $196,700 USD Annual
  • US5: $123,900 - $206,500 USD Annual
  • US10: $129,800 - $216,400 USD Annual
  • US15: $135,700 - $226,200 USD Annual
  • US20: $141,600 - $236,000 USD Annual
  • US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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