Data Analyst

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