Full-Time
US
Posted 2 months ago

As Data Analyst, You Will…

  • Use automated tools to extract data from primary and secondary sources
  • Remove corrupted data and fix coding errors and related problems
  • Develop and maintain databases, data systems – reorganizing data in a readable format
  • Perform analysis to assess quality and meaning of data
  • Filter data by reviewing reports and performance indicators to identify and correct code problems
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time
  • Analyze local, national, and global trends that impact both the organization and the industry
  • Prepare reports for the management stating trends, patterns, and predictions using relevant data

Requirements

As Data Analyst, You Have…

  • Bachelor of Science in BS Computer Science or equivalent combination of education and work experience (required)
  • At least 1 to 3 years experience in data management and/or a similar role
  • Ability to work any schedule, including overnights, weekends, and holidays
  • Proven working experience in data analysis
  • Knowledge of data visualization software like Tableau or Qlik
  • Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
  • Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
  • Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
  • Strong mathematical skills to help collect, measure, organize, and analyze data
  • Excellent communication and presentation skills
  • Systematic and logical approach to problem-solving
  • Superior attention to detail with an eye for accuracy
  • Ability to work both independently and in a team setting within a fast-paced, entrepreneurial environment
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation
  • Proficiency in statistics and statistical packages like Excel, SPSS, and SAS to be used for data set analyzing
  • Skills in using data processing platforms like Hadoop and Apache Spark
  • Strong analytical, problem-solving, critical thinking, and decision-making skills

Job Features

Job Category

IT

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