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Responsibilities

• Mentor junior data analysts.
• Identify enterprise and departmental data elements and facilitate management.
• Develop and implement data collection and management strategies to optimize quality and consistency.
• Proactively maintain data for accuracy, completeness, consistency, validity, integrity, and timeliness.
• Work with management to prioritize business and information needs, visualizations, and data discovery.
• Locate and define new process improvement opportunities.

Requirements

• Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study.
• Three (3) years of experience as a Data Analyst or a related occupation.
• Three (3) years of experience with machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, regression).
• Three (3) years of experience with libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Matplotlib, Seaborn.
• Three (3) years of experience with information technology systems, data management, and reporting.
• Three (3) years of experience with reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure).
• Three (3) years of experience with programming (python, scripting or ETL frameworks).
• Three (3) years of experience with statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management).
• Three (3) years of experience with data models, visualization, database design, data mining and segmentation techniques.
• Three (3) years of experience with queries, report writing, presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

Skills

• Machine learning algorithms
• Supervised learning
• Unsupervised learning
• Deep learning techniques
• RandomForest
• Decision Tree
• Gradient Boosting
• LGBM
• Regression
• Scikit-learn
• TensorFlow
• PyTorch
• Keras
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Information technology systems
• Data management
• Reporting
• SQL
• Databricks
• Azure
• Python
• Scripting
• ETL frameworks
• Statistics
• Excel
• R
• SPSS
• SAS Data Management
• Data models
• Visualization
• Database design
• Data mining
• Segmentation techniques
• Queries
• Report writing
• Presenting findings
• Dashboarding
• PowerBi
• Tableau

Location

• Raleigh, NC

Experience Level

• Three (3) years of experience as a Data Analyst or a related occupation

Education Level

• Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study

About the Company

• North Carolina Electric Membership Corporation