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Knime Data Jobs (NOW HIRING)

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) • ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

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 required ...

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 ...

Omni Inclusive

Python Developer

Rosemont, IL · On-site

$50.75 - $69.75/hr

Experience with relational databases, large datasets, and data architecture * Experience in Tableau and Sigma * Workflow automation experience using Knime and/or Alteryx * Prior logistics ...

TEOCO

Telecom Expense Auditor

Fairfax, VA · On-site +1

Other source data may include industry databases, client provisioning systems, internal TEOCO cost ... MS Excel, SQL, MS Access, Python, KNIME, Alteryx and Business Objects. Auditor will load potential ...

TEOCO

Telecom Expense Auditor

Fairfax, VA · On-site

Other source data may include industry databases, client provisioning systems, internal TEOCO cost ... MS Excel, SQL, MS Access, Python, KNIME, Alteryx and Business Objects. Auditor will load potential ...

Apply Early

TransUnion

Managers

... Data Modeling required. Required skills: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis ...

excellerent solutions

Cloud Foundry Developer

Detroit, MI · On-site

$55.75 - $76.25/hr

Experience in building applications that handle large amount of semi-structured and unstructured data using KNIME * Experience in Java and JavaScript * Experience in REST Services and HTTP over REST

Calpine

Engineer - Data Analyst

Pasadena, TX

Prefer a minimum of 2 years of experience with data analysis and preparation tools, such as SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau ...

excellerent solutions

Cloud Foundry Developer

Detroit, MI

$55.75 - $76.25/hr

Experience in building applications that handle large amount of semi-structured and unstructured data using KNIME * Experience in Java and JavaScript * Experience in REST Services and HTTP over REST

MP Materials Corp.

Data Analyst

Fort Worth, TX · On-site

Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred. * Ability to work with large, complex datasets from multiple sources and ...

Samprasoft

SQL (Teradata preferred) Looker / Qlik/Tableau Data Analysis Data Quality BI Development Data ... KNIME SQL/PLSQL Qlik ThoughtSpot Tableau Google Suite Strong mathematical, statistical and/or ...

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Knime Data information

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$34K

$82.6K

$136K

How much do knime data jobs pay per year?

As of Jul 5, 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, and why are they important?

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.

Is KNIME an ETL tool?

KNIME is a data analytics platform that includes ETL (Extract, Transform, Load) capabilities, allowing users to integrate, clean, and prepare data for analysis. It is widely used by data professionals for data integration and workflow automation, often requiring knowledge of data transformation techniques. As a versatile tool, KNIME supports various data sources and scripting languages, making it suitable for ETL tasks within data analysis roles.

What kind of jobs use KNIME?

Data analysts, data scientists, and machine learning engineers often use KNIME for data integration, analysis, and workflow automation. These roles require skills in data manipulation, analytics, and familiarity with KNIME's visual programming environment to process large datasets and develop predictive models.

Do companies use KNIME?

Yes, many companies use KNIME for data analytics, machine learning, and automation tasks. Data professionals, including those with KNIME skills, often work in environments that require data integration, workflow design, and advanced analytics. Familiarity with data manipulation and visualization tools enhances job prospects in roles involving KNIME.

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 the highest paying job in data?

In the data field, roles such as Data Science Director, Chief Data Officer, and Data Engineering Manager tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What are KNIME Data professionals?

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.
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Knime Data jobs near you
Infographic showing various Knime Data job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, and 92% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Automation Specialist Alteryx

VeeRteq Solutions Inc.

Basking Ridge, NJ • On-site

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Position Details:

Job Title: Data Automation Specialist Alteryx

Work Location: Baskin Ridge, NJ

Duration: Long Term 

Job Description

We are looking for a skilled Data Automation Specialist to play a key role in optimizing data workflows, automating processes, and delivering actionable insights to our clients. The ideal candidate will have a strong background in data analytics, with expertise in tools like Alteryx, Teradata, Knime, and Google Apps Script. In this role, you will be responsible for understanding and optimizing Alteryx workflows, automating dashboards for business users, cleaning and processing data using Python, and consolidating multiple reports into comprehensive dashboards.

Key Responsibilities:

  • Understand and optimize a portfolio of 150 Alteryx workflows, ensuring efficiency and effectiveness in data processing.
  • Automate the creation of dashboards for business users using tools like Qlik, providing real-time insights, and enhancing decision-making capabilities.
  • Utilize Python for data cleaning and processing, ensuring data accuracy and consistency across all sources.
  • Drive data discovery initiatives to uncover valuable insights and opportunities for business improvement.
  • Consolidate multiple reports into a single dashboard using Knime, simplifying data visualization and analysis for stakeholders.
  • Extract data from the data warehouse using Teradata and Google BigQuery and create derived datasets for injection into the KPI store.
  • Provide support for report automation, streamlining the process of generating and distributing reports.
  • Conduct thorough testing of reports to ensure that new data aligns with historical data and meets quality standards.
  • Utilize Google Apps Script to automate tasks and enhance productivity in Google Workspace.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, or a related field. 3+ years of experience in data analytics, data automation, or a similar role.
  • Proficiency in Alteryx, Knime, Teradata, Google Big Query, and Google Apps Script.
  • Familiarity with Teradata and Big Query experience pulling data from data warehouses.
  • Demonstrated ability to automate processes and create intuitive dashboards for business users.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
  • Detail-oriented with a commitment to delivering high-quality work under tight deadlines.
  • Good to have knowledge and experience with Qlik.
  • Good to have programming skills in Python