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Knime Analytics Platform Jobs in Michigan (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Dearborn, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Detroit, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Ann Arbor, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Lansing, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Warren, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

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Knime Analytics Platform information

What is KNIME Analytics Platform?

KNIME Analytics Platform is an open-source software for data analytics, reporting, and integration. It provides a graphical interface that enables users to create data workflows without needing to write code, though coding is supported for advanced tasks. KNIME supports a wide range of data sources and integrates with popular machine learning and data mining libraries. It is widely used for tasks like data preprocessing, statistical analysis, and predictive modeling. The platform is popular among data scientists, analysts, and researchers for its flexibility and extensibility.

What are some common challenges faced when onboarding new team members to projects using KNIME Analytics Platform?

Onboarding new team members to projects in KNIME Analytics Platform often involves ensuring familiarity with KNIME's workflow-based interface and the specific extensions used in your organization. New users may initially find it challenging to adapt to KNIME’s node-based approach, especially if they are more accustomed to coding-centric data tools. Providing access to well-documented, modular workflows and encouraging participation in KNIME’s community forums can accelerate learning. Collaboration is typically enhanced through version control integrations and shared workspace environments, which help new members quickly align with team standards and best practices.

What are the key skills and qualifications needed to thrive as a KNIME Analytics Platform specialist, and why are they important?

To thrive as a KNIME Analytics Platform specialist, you need a solid background in data analysis, statistics, and experience with data integration and workflow automation. Familiarity with the KNIME software suite, data visualization tools, and scripting languages such as Python or R, as well as relevant certifications like KNIME Certified Analytics Professional, are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills and qualifications enable professionals to efficiently manage data-driven projects, deliver actionable insights, and support business decision-making.

What is the difference between Knime Analytics Platform vs Data Analyst?

AspectKnime Analytics PlatformData Analyst
Required CredentialsProficiency in data analytics tools, certifications in data science or analyticsBachelor's degree in statistics, data science, or related field; certifications are a plus
Work EnvironmentData science teams, analytics departments, often in tech or finance industriesBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed for data integration, machine learning, and automation in analytics projectsAnalyzing data, creating reports, supporting decision-making processes

Knime Analytics Platform is a powerful tool for data scientists and analytics teams, focusing on data processing and machine learning. Data Analysts typically use a variety of tools, including Knime, to interpret data and generate insights. While both roles require analytical skills, Knime specialists focus on building workflows and automation, whereas Data Analysts focus on interpreting data and reporting.

Does Knime Analytics Platform offer certifications?

Yes, KNIME offers official certifications for users who complete training programs and pass exams, such as the KNIME Certified Developer and KNIME Certified Professional. These certifications validate skills in data analytics, workflow design, and platform usage, and can enhance job prospects for professionals working with KNIME Analytics Platform.

Is KNIME in demand?

Knime Analytics Platform is increasingly in demand as organizations seek data analysts and data scientists skilled in visual workflow tools and data integration. Proficiency in KNIME, along with knowledge of data mining and machine learning, can enhance job prospects in analytics roles across various industries.

What are popular job titles related to Knime Analytics Platform jobs in Michigan?

For Knime Analytics Platform jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Knime Analytics Platform jobs in Michigan look for?

The top searched job categories for Knime Analytics Platform jobs in Michigan are:

What cities in Michigan are hiring for Knime Analytics Platform jobs?

Cities in Michigan with the most Knime Analytics Platform job openings:

Knime Analytics Platform jobs near you
Infographic showing various Knime Analytics Platform job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Business Technologist Specialist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 12 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

World Class Finance Transformation operates across the entire financial landscape and partners with IT to identify and develop technology solutions, lead transformation projects, apply business best practices, and nurture the workforce on the utilization of self-service technologies. Acts as an Entrepreneurial Business Technologist and as transformation and change agent.
What You'll Do:
  • Collaborate with various Finance Accounting Groups to identify, design, develop, and implement technical solutions in business intelligence reporting/analytics, business process management, AI, and process automations.
  • Manage value-added projects utilizing continuous improvement methods.
  • Analyze and support complex business processes, create functional/technical documents to drive solutions.
  • Apply project management skills to manage deliverables and meet project timelines.
  • Develop and deliver technical training, perform proof of concepts/pilot solutions, vendor software evaluations, continuous self-development. Presentation to leadership.

Basic Qualifications:
  • Bachelor's degree or higher in Information Technology, Finance, Accounting, Business Analytics; or related.
  • 5+ years relevant experience
  • Demonstrate technical proficiency in AI, automation, analytics and data visualization and strong business acumen to align technology solutions with business objectives
  • Strong problem solver and communicator
  • Experience building or implementing process improvement technology solutions using:
  • Business intelligence reporting, analytics (Power BI/SAP Analytics Cloud/Qlik/Tableau, similar)
  • Finance ERP tools (SAP suite, Oracle suite, or similar)
  • MS Power Platform (Power Query, Power Automate, PowerApps)
  • Generative AI (AWS, Microsoft Copilot Studio)
  • Robotic Process Automation (Power Automate, Blue Prism, Automation Anywhere, similar)
  • Data transformation tools (AWS, Azure, Knime, SQL, Python, similar)
  • Finance ERP tools (SAP suite, Oracle suite, or similar)
  • Team management, driving cooperation
  • Strong problem-solving
  • Ability to influence and drive results.

Preferred Qualifications:
  • Advanced Technical or business degree
  • Certifications in Analytics, data science, process automation, data academy trained, process improvement (Lean Six Sigma)
  • Experience using Finance ERP tools (SAP suite, Oracle suite)

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