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Manufacturing Data Analyst Remote Jobs in Michigan

... support cross-domain manufacturing analytics. This role operates at the intersection of ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Redefining mobility requires quality data, metrics, and analytics, as well as insightful ... Manufacturing Engineering or a related field and 3 years of experience in the job offered or a ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Manufacturing Data Analyst Remote information

How can I make $100,000 a year working from home?

A Manufacturing Data Analyst working remotely can reach a $100,000 annual salary by gaining specialized skills in data analysis, manufacturing processes, and tools like SQL or Python, along with relevant certifications. Building experience, demonstrating strong analytical abilities, and working for companies that offer competitive pay and remote opportunities are key factors in achieving this income level.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

How does a Manufacturing Data Analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

Is it possible to get a remote job as a data analyst?

Yes, many data analyst roles, including manufacturing data analysts, are available as remote positions. These jobs often require skills in data visualization, SQL, and tools like Excel or Tableau, and may involve remote collaboration tools. The availability of remote work depends on the employer and the specific job requirements.

What are the key skills and qualifications needed to thrive as a Manufacturing Data Analyst (Remote), and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and may work closely with engineering and production teams to optimize manufacturing efficiency.

What is a Manufacturing Data Analyst (Remote)?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How can I make $2000 a week working from home?

A Manufacturing Data Analyst working remotely can potentially earn $2000 or more per week by gaining specialized skills in data analysis, using tools like Excel, SQL, or Python, and working for companies that offer high-paying freelance or contract roles. Building a strong portfolio, obtaining relevant certifications, and seeking opportunities with higher pay rates can help achieve this income level. Consistent remote work, often on a full-time basis, is essential for reaching such earnings.
What are the most commonly searched types of Manufacturing Data Analyst jobs in Michigan? The most popular types of Manufacturing Data Analyst jobs in Michigan are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Michigan look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Michigan are:
What cities in Michigan are hiring for Manufacturing Data Analyst Remote jobs? Cities in Michigan with the most Manufacturing Data Analyst Remote job openings:

Data Analyst II - Remote Position

Trinityhealth

Livonia, MI • Remote

Full-time

Posted 26 days ago


Job description

Employment Type:Full timeShift:Day ShiftDescription:POSITION PURPOSE

The Data Analyst (II) provides business intelligence support to various department leaders in providing technical and analytic support for strategic and healthcare initiatives within Trinity Health. Applies statistical techniques and quantitative methods in reviewing data to develop scorecards, benchmarking studies, or integrated ad hoc analyses. Contributes to and participates with other teams such as but not limited to: Health Informatics, Trinity Information Services, Supply Chain, Revenue and Finance as needed to provide insights for strategic initiatives to leaders across the healthcare system.

This role supports and manages analytic design, data collection, and measure reporting in accordance with national and professional society standards and supports various healthcare initiatives aligned with organizational goals. Develops analytical and statistical skill set to research and make recommendations on business problems and to develop and implement data driven strategies to support key initiatives. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. This role also requires the application of project management concepts in the analytics life-cycle process.

ESSENTIAL FUNCTIONS

Knows, understands, incorporates and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices and decisions.

Serves as a subject matter expert by providing analytic consultation in collaboration with other team members (clinical leaders, project managers, other analysts, etc.) in identifying analytics options and opportunities and providing problem solving solutions in support of the project goals.

Responsible for a moderate number of projects that are narrow in scope and moderate complexity including:

  • Reviewing and modifying existing systems including coding, testing, debugging, and documentation
  • Responsibility for the checks for validity and reproducibility of analyses
  • Maintaining routine reporting and ensuring completeness and accuracy of reports
  • Supporting the design and development of datasets from multiple data sources

Researches measure definitions, algorithms, published journal articles and statistical methods to make appropriate recommendations to support organizational goals.

Develops queries to source high-volume, high-dimensionality data from multiple complex databases. Cleans and manipulates data as appropriate for report generation, dashboard creation, or simple to moderately complex statistical analysis.

Regularly monitors performance of many key performance indicators, highlights trends, examines interactions in metrics, and identifies opportunities for improvements to leaders and stakeholders.

Develops portions of presentations, publications, website postings, and applications in collaborations with other stakeholders.

Draws strategic and tactical conclusions from data analyses through summarization, interpretation, and visualization of data so to make recommendations to clinical leadership in an easy-to-understand communication format.

Builds strong relationships internally and collaborates effectively on cross-functional teams. Collaborates with members of various other departments, for example (Supply Chain, Revenue and Finance) to develop integrated ad hoc analyses aligned with organizational goals.

Develops trusted relationships through efficient, high-quality execution of analyses and effective communication regarding expectations and timelines.

Provides technical and operational guidance and direction to Level I Data Analysts and collaboratively works with Senior Healthcare Data Analysts during consultations and presentations.

Works in partnership with Trinity Information Services and other technology teams in support of development and maintenance of data applications, clinical databases, and vendor systems containing clinical content.

Other duties as needed and assigned by the Director, Healthcare Data and Analytics.

Maintains a working knowledge of applicable Federal, State, and local laws and regulations, Trinity Health's Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical, and professional behavior.

MINIMUM QUALIFICATIONS

Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience.

Must possess excellent oral and written communication and presentation skills.

Must be well organized and possess the ability to work with minimal supervision, which includes setting one's own priorities and actively seeking direction in case of conflict.

Must be able to make decisions based on logical thinking and ethical principles.

Comprehensive knowledge of quality improvement principles, theory, study design and statistical modeling and possess and ability to continuously learn in these areas.

Advanced Microsoft Office skills required, particularly in Excel.

Proficient working with data in the capacity of a programmer.

Proficiency in statistical or analytic software systems such as SAS, R, SPSS, etc.

Experience with relational databases and general programming languages (SQL or Python).

Experience with various data reporting and visualization software (Tableau, Qlikview, Business Objects, etc.)

Excellent interpersonal skills to foster collaborative partnerships using a team approach to span traditional boundaries within a healthcare setting.

Must be comfortable operating in a collaborative, shared leadership environment.

Must possess a personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Trinity Health.

PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS

Must be able to set and organize own work priorities and adapt to them as they change frequently. Must be able to work concurrently on a variety of tasks/projects in an environment that may be stressful with individuals having diverse personalities and work styles.

Must possess the ability to comply with Trinity Health policies and procedures.

Pay Range- $86,175- $129,263

Our Commitment

Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.