What are the responsibilities and job description for the KNIME Analytics Platform Consultant position at InfoVision, Inc.?
Job Details
KNIME Analytics Platform Consultant
Dallas TX or NJ,
Long term contract
- Data Mining & Analytics:
- Strong understanding of data mining techniques (classification, clustering, regression, anomaly detection, etc.).
- Ability to analyze large datasets, extract insights, and create actionable strategies.
- KNIME Expertise:
- Hands-on experience with KNIME Analytics Platform for data preprocessing, transformation, and visualization.
- Ability to build and optimize KNIME workflows for data mining tasks.
- Experience with KNIME extensions (e.g., Python, R, Machine Learning, Big Data).
- Billing Data Analysis (Verizon Use Case):
- Experience analyzing billing and financial datasets to detect patterns, anomalies, and trends.
- Understanding of telecom billing systems and processes (preferably Verizon-specific or similar).
- Ability to identify cost drivers, discrepancies, and revenue leakages using data mining techniques.
- Data Processing & Integration:
- Experience in handling structured and unstructured data.
- Knowledge of SQL, ETL processes, and data integration with KNIME.
- Understanding of APIs, databases, and cloud platforms (if applicable).
- Communication & Reporting:
- Ability to translate data findings into business insights.
- Strong experience with data visualization (using KNIME, Power BI, Tableau, etc.).
- Ability to document findings and communicate effectively with stakeholders.
- Additional Preferred Skills:
- Scripting Knowledge: Python or R (for advanced analytics in KNIME).
- Machine Learning: Basic knowledge of predictive modeling and automation in KNIME.
Telecom Domain Knowledge: Understanding of billing cycles, usage patterns, and fraud detection in telecom
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
