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Knime Data Jobs in Reston, VA (NOW HIRING)

TEOCO

Telecom Expense Auditor

Fairfax, VA

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

Senior Telecom Expense Analyst

Fairfax, VA

$89.80K - $118.80K/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 ...

GDIT

Manager, Finance Transformation

Falls Church, VA · Hybrid

$127.50K - $172.50K/yr

Data Analytics experience. Familiarity with Oracle EPM, Oracle EBusiness Suite, Oracle OAS, KNIME, or Alteryx (not required - training provided). * Technical curiosity and a willingness to learn new ...

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How much do knime data jobs pay per year?

As of May 31, 2026, the average yearly pay for knime data in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 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.

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 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.

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 job categories do people searching Knime Data jobs in Reston, VA look for? The top searched job categories for Knime Data jobs in Reston, VA are:
What cities near Reston, VA are hiring for Knime Data jobs? Cities near Reston, VA with the most Knime Data job openings:
Knime Data jobs near you
Telecom Expense Auditor

Telecom Expense Auditor

TEOCO

Fairfax, VA

Full-time

Posted 22 days ago

Job description

Job Summary

TEOCO’s audit team is seeking a smart, self-motivated, and collaborative candidate for a network cost auditor position. This is a great opportunity to continue to build a foundation of telecom knowledge and developing advanced software skills. Based on direction from management, the auditor will analyze client invoice data and pinpoint vendor overbillings or under billings by applying general audit principals such as pattern recognition, data filtering, and cross-referencing multiple data sources.

The auditor will be required to analyze contracts, applicable tariffs, Interconnection Agreements, and research other sources of potential data. Other source data may include industry databases, client provisioning systems, internal TEOCO cost assurance software and analytics tools such as BillTrak and external software tools such as Microsoft Office and Python. The auditor will leverage some or all of the following software tools as part of daily activities: MS Excel, SQL, MS Access, Python, KNIME, Alteryx and Business Objects. Auditor will load potential overbillings or under billings in a spreadsheet format into TEOCO’s web-based Claim Center application, adding a written description of the issue and any necessary supporting information. Auditor will analyze any responses from vendors and provide on-going support to the reconciliation team to help resolve issues on behalf of the client with the vendor. Auditor may be called, on occasion, to participate in calls with clients to explain issues or to demonstrate and train clients on how issues were identified. Experience & Qualifications: Bachelor's Degree, preferably in Finance, Accounting, Economics, Math or Statistics. 1+ years of experience working in telecom environment helpful or 1+ years of Accounts Payable experience. Previous experience with telecom invoices helpful.)

Key Responsibilities

  • The auditor will be required to analyze contracts, applicable tariffs, Interconnection Agreements, and research other sources of potential data.

  • Other source data may include industry databases, client provisioning systems, internal TEOCO cost assurance software and analytics tools such as BillTrak and external software tools such as Microsoft Office and Python.

  • The auditor will leverage some or all of the following software tools as part of daily activities: MS Excel, SQL, MS Access, Python, KNIME, Alteryx and Business Objects.

  • Auditor will load potential overbillings or under billings in a spreadsheet format into TEOCO’s web-based Claim Center application, adding a written description of the issue and any necessary supporting information.

  • Auditor will analyze any responses from vendors and provide on-going support to the reconciliation team to help resolve issues on behalf of the client with the vendor. Auditor may be called, on occasion, to participate in calls with clients to explain issues or to demonstrate and train clients on how issues were identified.

Required Skills & Competencies

  • Experience & Qualifications: Bachelor's Degree, preferably in Finance, Accounting, Economics, Math or Statistics.

  • 1+ years of experience working in telecom environment helpful or 1+ years of Accounts Payable experience.

  • Previous experience with telecom invoices helpful.

  • Microsoft Suite

  • Preferred Skills: SQL, MS Access, Python, KNIME, Alteryx and Business Objects