Data Solutions Analyst

The Data Solutions Analyst delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and works with Data Scientists to leverage that knowledge within our data science solutions. This team member combines knowledge of mathematics and applied statics, visualization skills, storytelling capabilities, a healthy sense of exploration and knowledge acquisition capabilities. They find the "golden nuggets" of information buried within our rich data set and apply those findings to aide in the feature engineering and development of new data science capabilities. This team member is also responsible for challenging the accuracy and validity of these capabilities over time through continual analysis of the solution results in the context of our ever-changing and diverse business.

Responsibilities

  • Leverage data visualization, data manipulation and mathematics skills to identify patterns in response to business and data science needs
  • Translate data science model results into actionable and quantifiable business insights
  • Understand, collect and feature engineer data for further statistical analysis
  • Develop and implement multivariate tests
  • Validate and monitor performance/accuracy and business impact of data science models
  • Maintain relationships between business area clients and the Business Intelligence and Technology teams so all teams are aligned to meet objectives
  • Work with Project Managers to develop detailed project timelines
  • Summarize and present conclusions and solutions
  • Communicate complex analyses clearly to all audiences as requested

Requirements
  • Bachelor's degree in a quantitative field such as computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences, physics or chemistry
  • 1 year of experience providing data analysis and visualization experience within a business setting
  • 1 year of experience working with raw data
  • Understanding of statistics
  • Proficiency in SQL, Tableau and Microsoft data packages
  • Understanding of programming fundamentals
  • Working knowledge of relational databases and standard SQL query methods
  • Experience working with big data within a Hadoop environment
  • Experience working with R, Python or other programming packages
  • Experience with machine learning methods (such as regressions, clustering, classification, etc.)


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