Data Science Analyst
- 70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
- 20% Management of Data - Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies
- 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members
- This position reports to Manager of above
- This position has 0 Direct Reports
- No travel required.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Proven experience with data mining and data analysis
- Working knowledge of Microsoft Office Suite
- Working knowledge of Tableau
- Working knowledge of presentation software (e.g., Microsoft PowerPoint)
- Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
- 2-4 years of relevant work experience
- Working knowledge of Microsoft Excel and Power Point
- Experience in a modern scripting language (preferably Python)
- Experience running queries against data (preferably with Google BigQuery or SQL)
- Experience with data visualization software (preferably Tableau)
- Exposure to statistics, predictive modeling and other data science methodologies
- The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
- No additional education
- 2
- No additional years of experience
- None
- None
- None
- Action Oriented
- Business Insights
- Nimble Learning
- Self-Development
- Collaborates
- Optimizes Work Processes
- Plans and Aligns
- Communicates Effectively
- Customer Focus
- Drives Results
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