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Knime Analytics Platform Jobs in Ohio (NOW HIRING)

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 Ohio?

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

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

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

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

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

Infographic showing various Knime Analytics Platform job openings in Ohio as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution.

Investment Data Analyst II

Western & Southern Financial Group

Cincinnati, OH • On-site

$60 - $80/hr

Other

Re-posted 24 days ago


Western & Southern Financial Group rating

9.0

Company rating: 9.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

38th of 315 rated insurance


Job description

Overview

This position leads enhancements to data quality management platform and analyzes data for accuracy. Responsible for implementing business solutions that use data to streamline processes. Uses data profiling of additional data sources in determining accuracy and identifying automation opportunities. Independently partners with business users and IT to document business requirements and translates into actionable data modeling, data movement and translation programs. Works under minimal supervision and escalates to manager when appropriate.

Responsibilities What you will do:
  • Leads enhancements to data quality management platforms and analyzes data for accuracy including assigning new reference data when needed
  • Maintains data integrity to ensure compliance with data governance processes
  • Responsible for implementing business solutions that use data to streamline processes; includes data mapping and validation
  • Uses data profiling of additional data sources in determining accuracy and finding automation opportunities
  • Independently works with business users and IT to develop data requirements including transformation requirements between systems
  • Create basic dashboards and workflows in support of business needs, including Tableau, KNIME and Structured Query Language (SQL) queries
  • Serves as liaison between the business and ETL developers, data modelers and IT programmers related to business specific technical specifications
  • Targets opportunities to minimize risk and eliminate data redundancy
  • Keeps up on current data related technologies
  • Performs other duties as assigned.
  • Complies with all policies and standards.
Qualifications
  • Bachelor's Degree - Required
  • 4 - 6 years typical experience in SQL and data visualization. - Required
  • Proficient in Structured Query Language (SQL). - Preferred
  • Ability to build advanced Tableau dashboards. - Preferred
  • Demonstrated project management skills, especially pertaining to technical projects and vague or unknown initial requirements. -
  • Proven excellent relationship-building skills regarding IT functions (e.g., programmers, data modelers, data architects, etc.). -
  • Possesses and displays excellent verbal and written communication skills with ability to convey information to internal and external customers in a clear, focused and concise manner. -
  • Proven strong analytical skills, including demonstrated experience identifying and quantifying problems and providing effective resolutions with the ability to conceptualize and use new methodologies. Must have the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions. -
  • Superior data access skills; access, transform and manipulate internal and external data in its base form. -
  • Demonstrated knowledge of data-related tools and industry standards (ETL, business intelligence, report writing, SQL reporting services, Crystal Reports, etc.). -
  • Integration tools (DTS, SSIS, Informatica, etc.) preferred. -
  • Microsoft Office suite of products. -
  • Data-related certifications Upon Hire - Preferred

Work Setting/Position Demands:

  • Works in an office setting and remains in a stationary position for long periods of time while working at a desk, on a computer or with other standard office equipment, or while in meetings.
  • Requires the ability to verbally communicate and exchange accurate information to customers and associates on a regular basis.
  • Requires visual acuity to read and interpret a variety of correspondence, procedures, reports and forms via paper and electronic documents, visual inspection involving small defects; small parts, and/or operation of machinery (including inspection); using measurement devices continuously. Visual acuity is required to determine accuracy, neatness, and thoroughness of work assigned.
  • Requires the ability to prepare written correspondence, reports and forms using prescribed formats and conforming to rules of punctuation, grammar, diction, and style on a regular basis.
  • Requires the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions
  • Performs substantial movement of wrists, hands, and fingers for continuous computer work.
  • Extended hours required during peak workloads or special projects/events.
  • Occasional after-hours work needed

Travel Requirements:

  • None
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What Western & Southern Financial Group employees say

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