Posted on: May 23, 2019 | Job#: 281146

Senior Manager, HR Enterprise Advanced Analytics

Full-time | Two Folsom, San Francisco, CA, US 94105

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About Gap Inc.

Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy, Athleta, INTERMIX and Hill City — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years.

But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. 

About the role

As a Sr. Manager, HR Enterprise Advanced Analytics, your core purpose will be to provide analytical, operational and project management support to drive Talent & Culture people practices & outcomes for Enterprise core reporting, leveraging current technological solutions and driving future improvements. As a Sr. Manager, HR Enterprise Advanced Analytics, you are part of the Talent Strategy, Operations and Analytics & Technology team. You take an Enterprise point of view – developing scalable insights + solutions for all of our brands (Old Navy, Gap, Banana Republic, Athleta, Intermix, Hill City and Janie + Jack). You collaborate with peers and cross functional partners in Human Resources, Customer Insights, Finance, Store Operations. You model and inspire your team embody our culture. Be fast. Be fearless. Be better. Be bold.

What you'll do

  • Applies advanced statistical and predictive modeling techniques (designs, tests hypotheses and build models) to Talent & Culture people practices & outcomes (e.g. Core staff, quality of hires, engagement, retention) that enable the business to:
    • Identify risks / opportunities
    • Identify data trends / correlations
    • Attain its goals + bring the employee experience to life in the most targeted and productive way
  • Monitor and measure employee sentiment by managing our continuous listening strategy and connecting insights across employee surveys. Create actionable recommendations from survey insights using advanced research techniques.
  • Provides on-going tracking and monitoring of
    performance of decision systems and statistical models
  • Enhance data collection procedures to include information that is relevant for building analytical systems. Identifies what data is available and relevant, including internal and external data sources
  • Leverage technology platforms to make the right data accessible to the right people to drive decision making
  • Develop data visualizations that allow users to gain insights into the data
  • Connect the Employee Experience and the Business Experience through data + insights

Who you are

  • Top-notch HR analytical and diagnostic skills. You can easily identify connections between multiple complex data sources. You use data to tell compelling stories, with effective visualizations, that drive decisions and ask the right questions to get to the root of the problem.
  • Experience with machine learning, unsupervised and supervised techniques, including, but not limited to: classification, clustering + regression analyses.
  • Understand the intricacies, strengths, weaknesses and quality of workforce and non-workforce data sources
  • A natural ability to establish credibility and rapport, so you can work with and influence all levels within an organization, including leadership. Be able to effectively convey advanced technical concepts to all audiences.
  • Must have a strong interest in data science, statistical analyses, customer behavior, and the retail space, while demonstrating comfort in dealing with ambiguity.
  • Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, breadth, logic, significance and fairness.
  • 3+ years experience using statistical computer languages (R or Python, preferred) to clean + manipulate data, run statistical tests and provide insights from multiple datasets

Benefits at Gap Inc.

  • Merchandise discount for our brands: 50% off regular-priced merchandise at Gap, Banana Republic and Old Navy, 30% off at Outlet and 25% off at Athleta for all employees.
  • One of the most competitive Paid Time Off plans in the industry.*
  • Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
  • Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
  • Employee stock purchase plan.*
  • Medical, dental, vision and life insurance.*
  • See more of the benefits we offer.

*For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. This year, we’ve been named as one of the Best Places to Work by the Humans Rights Campaign for the fourteenth consecutive year and have been included in the 2019 Bloomberg Gender-Equality Index for the second year in a row.

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