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Knime Data Jobs in Edison, NJ (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) • ...

Omnicom Media

Director, Data Management

New York, NY · On-site

Position Summary As Director, Data Management & Visualization, you will be pivotal in managing the ... Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred. * Database ...

Omnicom Media

Director, Data Management

New York, NY · On-site

Position Summary As Director, Data Management & Visualization, you will be pivotal in managing the ... Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred. * Database ...

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All JobsKnime Data JobsKnime Data Jobs in Edison, NJ

Knime Data information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

How much do knime data jobs pay per year?

As of Aug 11, 2026, the average yearly pay for knime data in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 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.
What are popular job titles related to Knime Data jobs in Edison, NJ? For Knime Data jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Knime Data jobs in Edison, NJ look for? The top searched job categories for Knime Data jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Knime Data jobs? Cities near Edison, NJ with the most Knime Data job openings:
Knime Data jobs near you
Infographic showing various Knime Data job openings in Edison, NJ as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,553 per year, or $41.1 per hour.

Business Data Analyst

campus4tech

Iselin, NJ • On-site

Full-time

Re-posted 14 days ago

Job description

Role: Business Data Analyst
Location: Iselin NJ.08830
Schedule: Monday- Friday
Shift: Hybrid 3 day in-office / 2 day remote after first 2 months in-office
Status: Temp 12 Months
Key Responsibilities:
• Reporting & Dashboards: Develop, maintain, and automate performance dashboards and reporting tools to provide actionable insights to internal stakeholders.
• Analytics: Analyze business data to identify trends, opportunities, and areas for improvement; support data-driven decision-making.
• Industry Research: Conduct in-depth macroeconomic, industry/market, regional and competitive research to stay ahead of macro industry trends and inform strategic initiatives.
• AI & Digitalization: Explore and recommend AI and digital transformation tools to improve efficiency, customer experience, and innovation.
• Pitch Writing & Web Content: Craft compelling pitch decks, business proposals, and web content that align with brand voice and strategic market goals.
• Training & Knowledge Sharing: Train and support team members on tools, processes, and best practices in analytics and reporting. Collaborate with cross-functional teams to support data-driven decision-making processes.
• Collaboration: Collaborate with cross-functional teams to support data-driven decision-making processes.
• Teamwork: Contributes to creative thinking and supporting the team, believes in a teamwork approach and in facilitating change.
Qualifications:
• Bachelor's degree, 5+ years' experience in Data/Computer Science, Economics, Finance, or related.
• Proven experience in data analysis, visualization, and AI applications.
• Proficiency in advanced software solutions, including, but not limited to, Salesforce, Tableau, Knime, Power Automate, Microsoft Suite (Power BI, Excel, PowerPoint, SharePoint, etc)
• Understanding and interest in working with Artificial Intelligence technologies.
• Strong analytical and problem-solving skills.
• Ability to challenge oneself to learn new systems, software and online tools as will arise.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team in a fast-paced, change-oriented environment.

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