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Data Analyst

Salary undisclosed

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Qualifications:

  • Education: Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced degrees are a plus.
  • Technical Skills:
    • Proficiency in data analysis tools and languages such as SQL, Excel, R, or Python.
    • Experience with data visualization tools like Tableau, Power BI, or QlikView.
    • Familiarity with data warehousing and ETL processes.
    • Knowledge of statistical analysis and predictive modeling techniques.
  • Soft Skills:
    • Strong analytical and problem-solving skills.
    • Excellent communication and presentation skills.
    • Ability to work independently and manage multiple priorities.
    • Attention to detail and commitment to data accuracy.

Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Knowledge of machine learning algorithms and techniques.
  • Familiarity with programming languages like Java or Scala.
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.
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