Data Analyst - IC 2
On-siteSalt Lake City, Utah, United States
Job Summary
Design, prototype, and execute econometric models for data-driven price optimization techniques while building algorithms to implement strategy at scale. Lead complex pricing projects with minimal oversight by analyzing sales, price, and customer datasets to identify revenue opportunities and drive profitability. Develop and maintain Python scripts to automate pricing processes, run price tests to evaluate hypotheses, and translate complex model results into clear business insights for senior stakeholders. Collaborate cross-functionally with marketing, product, and operations to implement solutions and recommend optimal pricing decisions.
Required Qualifications
- Bachelor's degree (or U.S. equivalent in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or related field) and 2+ years of post-collegiate work experience conducting data analysis or PhD in a quantitative field
- Experience with SQL to extract and manipulate large datasets
- Experience with at least one modeling framework (e.g: SciKit Learn, SAS, R, MATLAB)
- Knowledge in statistics and mathematical concepts (e.g: hypothesis testing, regression)
- Experience creating and telling stories from data
- Excellent communication skills and experience with cross-team collaboration
- Experience initiating and driving projects to completion with minimal guidance
- Experience creating and telling stories from data including the use of visualization tools like Tableau, Power BI, or Microstrategy
- Experience using Microsoft Suite Tools (including Word, PowerPoint and Excel)
Desired Qualifications
- Experience in the online retail industry
- Experience building, implementing and maintaining pricing algorithms on complex datasets
- Experience conducting price tests and utilizing statistical methods to measure the performance of new pricing initiatives
- Experience automating analyses and manual processes via SQL and Python scripts
- Experience designing, developing and maintaining Python scripts to automate manual processes
- Experience communicating data analysis findings to executive leadership
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