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Data Scientist - People Analytics

As Data Scientist for People Analytics , you will blend deep data visualization skills with statistical analysis background to develop reporting solutions that will help drive informed business decisions for the People Organization. You will be tasked with getting a deep understanding of the People organization functions, leveraging data to inform leadership of trends, challenges and opportunities. You will focus on the analytics reporting framework while making recommendations to improve existing data-collection processes. The ideal candidate will have a background in a quantitative or technical field, will have experience working with large data sets and developing tools that enable data-driven decision making.

You will:

• Partner with the various teams within the People organization to solve problems and identify key business metrics, trends and analytical needs.
• Understand and define data and analysis requirements for reporting and operational needs
• Automate and streamline data analysis where feasible
• Provide guidance and develop data standards and reporting best practices
• Organize, clean, and combine structured and unstructured data from various sources
• Work with Data Engineering to understand existing People data and identify data quality improvements
• Build key data sets to empower operational and exploratory analysis
• Design, develop, test and launch new reports and dashboards into production
• Maintain and support reports and dashboards running in production
• Apply expertise in quantitative analysis, data mining and presentation of data to develop visually compelling and informative reports and dashboards to support metrics, historical data trend analysis, and identification of opportunities to drive continuous improvement

You are:

• Team player - this is a highly collaborative and supportive team environment
• Self-starter - you will take initiative, be proactive, set and drive toward goals
• Have expertise in SQL, data structures and data manipulation
• Track record for executing independent projects, leading complex, multi-functional projects, and forming effective cross-functional partnerships
• Experienced using data science to meaningfully impact product strategy and execution
• Experienced with one or more of the following in an applied setting: developing statistical frameworks to understand user behavior, advanced statistical techniques for hypothesis testing, methods for experimental design, causal inference, or quasi-experimental analysis
• Strong writer and verbal communicator, with proven ability to influence and communicate effectively

Basic qualifications:

• Bachelor’s Degree in Computer Science, Mathematics, Engineering, Statistics (or related field)
• 2+ years of advanced data reporting, visualization, and dashboard creation
• Extensive experience in Visualization tools like Tableau, Looker or similar. Familiarity with Google Big Query and Data Studio
• Extensive SQL experience for data extraction, manipulation, and analyses; including stored procedures, complex joins, creation of views, and database scripting

Preferred Qualifications:

• Advanced degree in a quantitative field and 5+ years of experience (or Bachelors degree with 7+ years of experience)
• Expertise in solving complex and highly impactful quantitative business problems with Python or R