Data Analyst – Rainbow Foam Bed & Beyond

Economics, Information Technology, Natural Sciences

Rainbow Foam Bed & Beyond

Data Analyst Roles and Responsibilities Include:

  • Using automated tools to extract data from primary and secondary sources
  • Removing corrupted data and fixing coding errors and related problems
  • Developing and maintaining databases data systems – reorganizing data in a readable format 
  • Performing analysis to assess quality and meaning of data
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Analyzing local, national, and global trends that impact both the organization and the industry
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. 
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. 

Qualifications

  • BS in Mathematics, Economics, Information Management or Statistics
  • 0+ years of experience in accounting and/or financial analysis
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

Lien