What are the responsibilities and job description for the KNIME Analytics Platform position at InfoVision, Inc.?
Job Details
Dallas or NJ, 3 days/week in the office is must
- 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 (Telecom Use Case):
- Experience analyzing billing and financial datasets to detect patterns, anomalies, and trends.
- Understanding of telecom billing systems and processes (preferably Telecom-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.
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