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Knime Data Jobs (NOW HIRING)

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME * 5-6 years of experience in Cloud ... Data Democratization related activities to drive data drivel decision making * Develop and ...

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME * 5-6 years of experience in Cloud ... Data Democratization related activities to drive data drivel decision making * Develop and ...

CCS INC

Project Manager Data Analytics

Plano, TX · On-site

$65 - $75/hr

Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME * 5-6 years of experience in Cloud ... Data Democratization related activities to drive data drivel decision making * Develop and ...

CTC USA, LLC

Data Analytics project Manager

Plano, TX · On-site

It is a Data Analytics project Manager role and HM is looking for some with 10+ years of experience ... Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME 5-6 years of experience in Cloud platforms:

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide) • 1 year of experience working ... data visualization tools (e.g., Looker, MicroStrategy VI, Power BI, Tableau) • 1 year of ...

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Create data workflows and automation using Alteryx, KNIME, or similar data analytics tools. * Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision ...

Cypress HCM

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools * Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision ...

New

Calance US

Data Analytics Project Manager

Plano, TX · On-site

$75 - $84.50/hr

Develop automated data workflows using Alteryx, KNIME, or similar analytics tools. Collaborate cross-functionally with engineering, manufacturing, sales, finance, and digital product teams. Clean ...

campus4tech

Business Data Analyst

Iselin, NJ · On-site

Business Data Analyst Location: Iselin NJ.08830 Schedule: Monday- Friday Shift: Hybrid 3 day in ... Knime, Power Automate, Microsoft Suite (Power BI, Excel, PowerPoint, SharePoint, etc) • ...

Luxoft

Senior Data Analyst

Tampa, FL · On-site

$78K - $98K/yr

* Responsibilities: * - Requirements elicitation, documenting and management. * - Create rules based on gathered requirements using internally-built language (similar to KNIME) * - Conduct insightful ...

New

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions ...

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All JobsKnime Data Jobs

Knime Data information

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$34K

$82.6K

$136K

How much do knime data jobs pay per year?

As of Aug 6, 2026, the average yearly pay for knime data in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a knime data analyst?

To excel as a KNIME Data Analyst, you need strong analytical skills, a solid understanding of data science concepts, and experience with data manipulation and visualization, typically supported by a degree in computer science, statistics, or a related field. Proficiency with the KNIME Analytics Platform, knowledge of data integration tools, and familiarity with languages like Python or R are highly valued, along with relevant KNIME certifications. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These competencies are crucial for delivering actionable analytics, ensuring data accuracy, and maximizing the value of data-driven decision making.

What is the difference between Knime Data vs Data Analyst?

AspectKnime DataData Analyst
Required CredentialsKnowledge of data analytics tools, certifications in data science or analyticsBachelor's degree in statistics, data science, or related field; often certifications in data analysis
Work EnvironmentData analytics platforms, data processing environments, often collaborative teamsOffice settings, reporting environments, business meetings
Industry UsageUsed within data science, analytics, and machine learning projectsApplied across industries for interpreting data, creating reports, and supporting decision-making

Knime Data refers to data processed or managed within the Knime analytics platform, focusing on data workflows and automation. Data Analysts work with data to interpret, analyze, and present insights, often using various tools including Knime. While Knime Data is about the data itself within a platform, Data Analysts utilize such data to inform business decisions. Both roles overlap in data handling but differ in scope and responsibilities.

What are some typical projects or tasks a knime data analyst might work on, and how do they collaborate with other teams?

As a KNIME Data Analyst, you will typically work on projects involving data preparation, transformation, and analysis to support business decision-making. Common tasks include building data workflows, automating reports, and developing predictive models using KNIME's visual interface. Collaboration is key—KNIME Data Analysts often work closely with data engineers to access and cleanse data, and with business stakeholders to tailor analyses to specific needs. You'll also regularly present findings to both technical and non-technical audiences, ensuring that insights are actionable and understood.

What is a knime data professional?

KNIME Data professionals are specialists who use the KNIME Analytics Platform, an open-source data analytics, reporting, and integration tool. They design, build, and automate data workflows to process, analyze, and visualize data from various sources. Their responsibilities often include data preparation, data mining, machine learning, and creating interactive dashboards to support business decision-making. KNIME experts are typically skilled in data science concepts and comfortable working with databases, scripting, and advanced analytics techniques.
More about Knime Data jobs
What cities are hiring for Knime Data jobs? Cities with the most Knime Data job openings:
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Knime Data jobs near you
Infographic showing various Knime Data job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analytics Project Manager

CCS INC

Plano, TX • On-site

$65 - $75/hr

Full-time

Medical, Dental, Vision

Posted 7 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

 
 Qualifications
  • Bachelor’s degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In total 10+ Years of experience. 
  • 10 years + Project Management experience
  • AWS or Azure Data certifications.
  • 7-8 years of experience in data wrangling, profiling, testing tools.
  • 7-8 years of experience in some of these technologies:
  • Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
  • 5-6 years of experience in Cloud platforms: AWS and/or Azure
  • Proficient in complex SQL and Excel
  • Exposure to Python or R 
Responsibilities
  • Data Democratization related activities to drive data drivel decision making 
  • Develop and maintaining interactive dashboards and reports using Power BI, Tableau, and PowerApps
  • Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools
  • Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision-making
  • Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams