ZipRecruiter

Log In

1

Trainee Data Analyst Jobs in Rochester, MI (NOW HIRING)

TH Medical

Cardiac Sonographer

Detroit, MI · On-site

... post-graduate medical trainees in laboratory methods, procedures analysis, and interpretive ... monitor data and procedure results. 3. Mechanical skills necessary to perform minor maintenance ...

ADP

Major Accounts Trainee (CPA)

Troy, MI · On-site

$44K - $56K/yr

... analytics. Clients in this segment often have multi location workforces and sophisticated ... Modern Selling Skills -- Combine sales technology and AI-driven tools and data insights to drive ...

ADP

Major Accounts Trainee (CPA)

Troy, MI · Hybrid

$44K - $56K/yr

... analytics. Clients in this segment often have multi location workforces and sophisticated ... Modern Selling Skills -- Combine sales technology and AI-driven tools and data insights to drive ...

next page

Showing results 1-20

All JobsData Analyst JobsTrainee Data Analyst JobsTrainee Data Analyst Jobs in Rochester, MI

Trainee Data Analyst information

See Rochester, MI salary details

$20.7K

$81.6K

$132.5K

How much do trainee data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for trainee data analyst in Rochester, MI is $81,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $99,900.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in critical thinking, communication, and domain knowledge that AI tools currently cannot fully replicate.

What are the key skills and qualifications needed to thrive in the Trainee Data Analyst position, and why are they important?

To thrive as a Trainee Data Analyst, you need strong analytical thinking, foundational knowledge of statistics, and a relevant degree such as mathematics, economics, or computer science. Familiarity with data analysis tools like Excel, SQL, or Python, and experience with data visualization platforms such as Tableau, are typically expected, while certifications in data analytics can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help trainees work well within teams and convey data-driven insights clearly. These skills are crucial for accurately interpreting data, supporting decision-making, and contributing value to the organization’s goals.

What is a Trainee Data Analyst job?

A Trainee Data Analyst is an entry-level role where individuals learn how to collect, process, and analyze data to support business decisions. They work with tools like Excel, SQL, and Python to clean and visualize data. Under supervision, they assist in identifying trends, creating reports, and improving data accuracy. This role provides hands-on experience and training to develop analytical and technical skills for a career in data analysis.

Is 40 too late for data science?

For a Trainee Data Analyst, starting a career at age 40 is possible, as many employers value skills and experience over age. Success often depends on acquiring relevant skills such as data analysis tools, programming languages, and certifications, regardless of age. Continuous learning and practical experience can help transition into data-related roles at any age.

What are typical career growth opportunities for someone starting as a Trainee Data Analyst?

Starting as a Trainee Data Analyst often opens the door to numerous advancement opportunities in the data and analytics field. With experience and demonstrated proficiency, trainees can progress to roles such as Data Analyst, Senior Data Analyst, or specialize further in areas like Business Intelligence or Data Science. Many organizations offer mentorship, on-the-job training, and educational support to help you build new technical and analytical skills. Advancement is frequently tied to developing deeper expertise in data modeling, programming, and domain-specific knowledge, allowing for both vertical and lateral career movement within the data function.

Can I become a data analyst with no experience?

Yes, it is possible to become a data analyst with no prior experience by acquiring relevant skills such as Excel, SQL, and data visualization tools, often through online courses or certifications. Entry-level positions may provide on-the-job training to develop necessary analytical and technical skills.

What does a data analyst trainee do?

A data analyst trainee assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.
What are the most commonly searched types of Data Analyst jobs in Rochester, MI? The most popular types of Data Analyst jobs in Rochester, MI are:
What job categories do people searching Trainee Data Analyst jobs in Rochester, MI look for? The top searched job categories for Trainee Data Analyst jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Trainee Data Analyst jobs? Cities near Rochester, MI with the most Trainee Data Analyst job openings:
Trainee Data Analyst jobs near you
Assistant Scientist / Assistant Professor - Computational Biology

Assistant Scientist / Assistant Professor - Computational Biology

Henry Ford Medical Group

Detroit, MI • On-site

Other

Re-posted 19 hours ago

Job description

Henry Ford Health

Henry Ford Health (HFH) in Detroit, Michigan, is one of the nation's leading comprehensive health systems, recognized for excellence in clinical care, research, and education. The Center for Cutaneous Biology and Immunology (CCBI) is a dynamic, multidisciplinary research program dedicated to advancing our understanding of skin biology and immunology, cancer immunology, and the functional genomics that govern immune cell behavior in cancer as well as autoimmune and inflammatory diseases. Our team fosters an innovative, collaborative, diverse, and open-minded research environment in partnership with Michigan State University. We are supported by multiple NIH-funded grants and active communities of immunologists, molecular biologists, biochemists, data scientists, physician scientists, and computational biologists. Our mission is to advance translational research that leads to meaningful improvements in clinical care.

Position Description

We invite applications for an Assistant Professor / Assistant Scientist with expertise in computational biology, statistical genetics, genomics, and AI-driven medicine. We seek a highly motivated individual who develops and applies state-of-the-art computational methods to complex, large-scale biological datasets. The successful candidate will contribute to high-impact translational research programs and lead independent research efforts, and will hold a joint faculty appointment (Assistant Scientist) with Michigan State University as part of the HFH-MSU Health Sciences partnership.

Key Responsibilities

  • Develop and apply computational, statistical, and AI/ML approaches to analyze diverse biological datasets, including:
    • GWAS, whole-genome/exome sequencing
    • DNA methylation and epigenomic profiling
    • Bulk and single-cell RNA-seq, spatial transcriptomics
    • ATAC-seq (bulk and single-cell), proteomics, CyTOF, and IMC
    • Histological and radiological imaging data
    • Clinical and epidemiological datasets
  • Lead independent research projects and contribute to collaborative team science initiatives.
  • Pursue external funding (e.g., NIH, NSF, foundations) to support research programs.
  • Mentor trainees and collaborate closely with investigators across HFH and Michigan State University.

Required Qualifications

  • PhD in biostatistics, bioinformatics, computational biology, computer science, or a related discipline.

  • Strong research track record in genetics, multi-omics integration, and/or AI applications to biological or clinical data, as demonstrated by peer-reviewed publications and conference presentations.

  • Demonstrated ability-or strong potential-to secure external research funding.

  • Proficiency in programming and analytical languages/platforms (e.g., R, Python, TensorFlow, PyTorch).

  • Experience working in Unix/Linux environments, including shell scripting (Bash, awk, sed).

  • Familiarity with tools for genomic, epigenomic, transcriptomic, and proteomic analysis, including next-generation sequencing pipelines (DNA-seq, RNA-seq, ATAC-seq, ChIP-seq).

  • Experience with single-cell and spatial transcriptomics, eQTL/pQTL analysis, and multimodal data integration.

  • Familiarity with imaging analytics (e.g., spatial transcriptomics, H&E, IMC, radiological imaging).

  • Experience in human subjects research, healthcare data, epidemiology, or biomedical applications.

  • Excellent communication, interpersonal, organizational, and collaborative skills, with the ability to work effectively with colleagues of diverse technical and scientific backgrounds.

How to Apply:

Please submit your CV, cover letter, and research statement (past accomplishments, current work, and future research vision) to:

Dr. Qing-Sheng Mi, MD, PhD

Director, Center for Cutaneous Biology and Immunology (CCBI)

Email: qmi1@hfhs.org

Equal Employment Opportunity/Affirmative Action Employer

Henry Ford Health is committed to the fair and equitable treatment of all individuals and prohibits discrimination based on race, color, creed, religion, age, sex, national origin, disability, veteran status, marital or family status, gender identity, sexual orientation, height, weight, genetic information, or any other protected category in accordance with federal and state laws.

Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Dermatology - New Center Det
  • Shift: Day Job
  • Union Code: Not Applicable

Apply