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Knime Data Jobs in Florida (NOW HIRING)

Luxoft

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

... to KNIME)- Conduct insightful, ad hoc analysis to investigate possible production issues ... enterprise data platforms * - Knowledge of cloud environments and modern data platform ...

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 required ...

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 ...

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 ...

Siemens Energy, Inc.

Business Controller

Orlando, FL · On-site

... KNIME, SAP, and other financial technologies to improve efficiency and data quality What You Bring * Bachelor's degree in Finance, Business Administration, Accounting, Economics or a related field ...

micro1 AI

Bioinformatics Software Engineer

Lakeland, FL · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Davie, FL · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

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All JobsKnime Data JobsKnime Data Jobs in Florida

Knime Data information

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 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 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 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 popular job titles related to Knime Data jobs in Florida?

For Knime Data jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Knime Data jobs in Florida look for?

The top searched job categories for Knime Data jobs in Florida are:

What cities in Florida are hiring for Knime Data jobs?

Cities in Florida with the most Knime Data job openings:

Knime Data jobs near you
Infographic showing various Knime Data job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Analyst

Tampa, FL • On-site

Luxoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Luxoftexternal

$90 - $150/hr

Other

Posted 22 days ago

Job description

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities
  • - Requirements elicitation, documenting and management.- Create rules based on gathered requirements using internally-built language (similar to KNIME)- Conduct insightful, ad hoc analysis to investigate possible production issues.- Maintaining project backlog- Participate in product increment acceptance testing and testing results analysis
SKILLSMust have
  • - 6+ years of requirements management / business analysis experience- SQL knowledge, be able to write complex SQL queries- Scripting experience (R, Python, VBA or any other language)- Technical Knowledge, ability to read the code- Experience in process analysis and documenting- Strong analytical and communication skills- Proactive team player, stress resistant
Nice to have
  • - Experience working with large-scale enterprise data platforms
  • - Knowledge of cloud environments and modern data platform architectures
  • - Understanding of CI/CD practices and automated deployment pipelines
  • - Experience working in Agile / Scrum teams within a distributed global setup
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