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Knime Data Jobs (NOW HIRING)

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 ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

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 ...

City of Georgetown, TX

IT Architect - Data Architect

Loop, TX · On-site

$62 - $79.75/hr

Knowledge of a data science platform (e.g., Python, R, KNIME, Alteryx, etc.). * Knowledge of Extract-Transform-Load (ETL) processing and Change Data Capture (CDC) technologies. * Knowledge of big ...

Ruri Software Technologies LLC

Big Data/ Hadoop Architect

$65.25 - $84/hr

Preference to Tableau, Pentaho, Pentaho, BIRT, JasperReport, SpagoBI, KNIME, ReportServer, Bitnami ReportServer Stack. • Expert knowledge with a track record of solution delivery using various data ...

TEOCO

Senior Telecom Expense Analyst

Fairfax, VA

$89K - $118K/yr

... data sources to validate findings. Utilize tools including Microsoft Excel, Microsoft Access, KNIME, and SAP BusinessObjects to analyze large datasets and support audit processes. Research and ...

Apply Early

TEOCO

Senior Telecom Expense Analyst

Fairfax, VA · On-site +1

$89K - $118K/yr

... data sources to validate findings. Utilize tools including Microsoft Excel, Microsoft Access, KNIME, and SAP BusinessObjects to analyze large datasets and support audit processes. Research and ...

phData

AI & Data Strategy Leader

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case ...

phData

Senior Consultant, Data Governance (MDM)

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Facilitate data governance working groups to drive alignment between business and technology ...

phData

Principal Analytics Consultant (Tableau)

OR · On-site +1

Our consulting services emphasize analytics enablement, data visualization, data preparation, and data science. We specialize in Tableau, Power BI, Sigma, Omni, Alteryx, KNIME, Power Platform, and ...

phData

Senior Consultant (AI Workforce - Glean)

Our consulting services emphasize analytics and agentic activation, data visualization, data preparation, and data science. We specialize in Snowflake, Power BI, Tableau, Sigma, Alteryx, KNIME, and ...

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Knime Data information

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$34K

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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.
More about Knime Data jobs
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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.
ETL/BI Developer

ETL/BI Developer

Samprasoft

On-site

Other

Posted 13 days ago

Job description

Job Title

MUST HAVE SKILLS: SQL (Teradata preferred) Looker / Qlik/Tableau Data Analysis Data Quality BI Development Data Engineering Excel Excellent writing / communication skills

Strong presentation skills. Must be well organized, detail oriented and self-motivated 8 to 12 years of recent ETL development, SQL development, report/dashboard development experience

DESIRED SKILLS: KNIME SQL/PLSQL Qlik ThoughtSpot Tableau Google Suite Strong mathematical, statistical and/or financial background

Programming experience preferred.

JOB DUTIES:

Responsible for the design, development and maintenance of reports and KPI dashboards. Sources data and analyzes trends across diverse metrics. Designs, develops and maintains Data KPI databases and platforms. Be able to articulate patterns/trends by creating meaningful representations of data. Ensures report validation and audits and processes to ensure data integrity. Develops ad-hoc reporting as requested.

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