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Data Associate Jobs in Rochester, MI (NOW HIRING)

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Support training and enablement of associates on new analytics tools, systems, and processes.

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Support training and enablement of associates on new analytics tools, systems, and processes.

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science ...

Remote Data Entry Clerk Typing

Detroit, MI · Remote

$16.75 - $22.50/hr

The Data Entry CLerk will be responsible for maintaining promotional, clearance and permanent price ... The associate will be the go to person for price change related issues and questions and the ...

The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable ... May have responsibility to train / mentor other Associates in processes, procedures and ...

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 years ...

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Data Associate information

See Rochester, MI salary details

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How much do data associate jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data associate in Rochester, MI is $30.44, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $36.06 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Rochester, MI? The most popular types of Data jobs in Rochester, MI are:
What job categories do people searching Data Associate jobs in Rochester, MI look for? The top searched job categories for Data Associate jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Data Associate jobs? Cities near Rochester, MI with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Rochester, MI as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $63,322 per year, or $30.4 per hour.
Data Scientist 2

Data Scientist 2

Denso

Southfield, MI • On-site

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


DENSO rating

7.4

Company rating: 7.4 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description


JOB SUMMARY:
Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise. This role will work across business functionssuch as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance. The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and operationalize models from concept through production.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Design, develop, and maintain statistical, machine learning, and AI models that extract actionable business and technical insights from large, complex datasets.
  • Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining.
  • Collaborate with business and engineering stakeholders to conduct needs assessments and requirements gathering, translating business questions into analytical solutions.
  • Perform advanced data analysis, data preparation, and model validation; translate insights into clear, actionable recommendations for management and internal customers.
  • Deploy and operationalize models using MLOps best practices, including versioning, monitoring, performance tracking, and continuous improvement.
  • Prepare and deliver executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences.
  • Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives.
  • Support training and enablement of associates on new analytics tools, systems, and processes.
  • Apply statistical and analytical expertise to advance regional and enterprise-wide digital transformation initiatives.
  • Stay current with industry trends and emerging technologies in data analytics, machine learning, and AI through ongoing learning, conferences, and training.
  • Perform other duties as assigned.

QUALIFICATIONS:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field
  • 2-5 years of relevant experience in data science, analytics, machine learning or AI
  • Automotive, manufacturing, or industrial experience preferred.

SKILLS AND ABILITIES:
  • Proficiency in Python and SQL; experience with R or Java a plus.
  • Experience working with large-scale datasets, databases, and distributed data processing environments.
  • Hands-on experience with cloud-based data science platforms, preferably Databricks and lakehouse architectures.
  • Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management.
  • Familiarity with data modeling, feature engineering, and analytics pipelines.
  • Exposure to IoT and industrial data concepts (e.g., sensor data, APIs, OPC UA/DA, streaming data) is a plus.
  • Knowledge of BI and visualization tools to support insight delivery.
  • Strong analytical and problem-solving skills, with the ability to independently develop innovative solutions to complex business challenges.
  • Ability to translate data science concepts into practical, production-ready solutions.
  • Comfortable collaborating with management, engineering, and cross-functional teams to bring analytics into real-world applications.
  • Excellent written, verbal, and presentation skills, with the ability to communicate effectively at all organizational levels, including senior leadership.
  • Demonstrated ability to build strong working relationships and function effectively in cross-functional teams.
  • Continuous improvement mindset with a focus on quality, scalability, and business value.
  • Ability to apply structured process improvement and quality methodologies to personal work and to support others in identifying gaps and improvements.

BENEFITS SUMMARY:
  • Medical, Dental, Vision, Prescription Drug plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer Opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary: $90,000 - $113,000

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