Senior Data Analyst

Raleigh, NC, US • Posted 17 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Mentorship
  • Data Collection
  • Process Improvement
  • Science
  • Data Science
  • Data Analysis
  • Computer Science
  • Machine Learning (ML)
  • Algorithms
  • Management
  • Deep Learning
  • Decision Trees
  • Gradient Boosting
  • Regression Analysis
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Keras
  • Pandas
  • NumPy
  • matplotlib
  • Information Technology
  • Reporting
  • Database
  • SQL
  • Cloud Computing
  • Databricks
  • Microsoft Azure
  • Python
  • Scripting
  • Extract
  • Transform
  • Load
  • Statistics
  • Microsoft Excel
  • R
  • SPSS
  • SAS
  • Data Management
  • Database Design
  • Data Mining
  • Report Writing
  • Presentations
  • Visualization
  • Microsoft Power BI
  • Tableau

Summary

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

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

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

How to Apply: Send resume to , reference Job No. 150 or click "Apply"

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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.
  • Dice Id: RTX1edf0a
  • Position Id: 7c4a3705b6d1459900ece182ccc37265
  • Posted 17 hours ago
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