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Data Analyst

Enjoy, Palo Alto, CA

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About Enjoy

Enjoy is pioneering the next generation of Retail - Mobile Stores - by bringing the best of the store to the customer, in as fast as 15 minutes!

Enjoy partners with premium brands to hand-deliver experiences to customers through an integrated platform, local logistics model and highly-trained Experts that help each customer get the most out of their new product, right from the start.

Enjoy was founded in 2014 by Ron Johnson (CEO), former head of Apple Retail. We’re led by a team of retail, technology and design executives from companies like Apple, Facebook, Tesla and Amazon, to name a few. Enjoy is currently operating in Canada, the United Kingdom and 50+ US markets.

The Role.

As an Enjoy Data Scientist, you'll provide deeper analysis and valuable insights to unlock opportunities and drive informed business decisions. Evolve the data platform with user-friendly tools, solutions and dashboards so that relevant information can be efficiently gathered and easily interpreted by business teams.

Responsibilities

  • Build and implement Data Solutions to help drive strategic business decisions leveraging insights
  • Align with leadership team, product managers, business teams and partners to set priorities based on analysis and results to implement and  optimize business processes and solutions
  • Own Insights Roadmap and deliverables working with cross-functional teams
  • Support scoping complex data-centric projects across multiple teams and systems and execute on deliverables and iterate to drive bias to action
  • Effectively use data to tell stories, communicate key insights through internal reports, presentations and dashboards to drive business decisions
  • Evaluate and quantifies the effect of experimentations and various tests through data analysis and statistical methods, and makes data-driven recommendations
  • Share weekly business performance with the leadership team
  • Assist business teams in defining, tracking and optimizing processes, tools, and dashboards for better planning and management of the business
  • Helps analyze the effectiveness of new solutions to inform whether to double down, pivot, or eliminate a new feature or process
  • Goes above and beyond a specific problem to finding all possible explanations
  • Partners with other analysts to create consistency in analysis and reporting

Required Candidate Skills and Experience.

  • 2+ Years specializing in Fraud or Risk modeling
  • 5+ years experience working in a fast paced environment as a data analyst or data scientist.
  • Machine Learning - working with ML frameworks such as SKLearn or other ML libraries
  • BS or MS in Engineering, Math, Statistics, Analytics, or Finance
  • Excellent quantitative skills and a deep understanding of statistical methods, and an ability to inspire confidence in data-driven decision making
  • Experience working with Data Warehouse(how we organize data), Business Intelligence Solutions (Tableau etc., Databases (SQL), Postgres etc), Programming (Python, XML, Javascript, or ETL frameworks) Experience with running A/B tests and familiar with Experimentation platforms
  • Proficient with Google Analytics, Hotjar and similar Web Analytics products
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Understanding of eCommerce and Retail will be a big plus
  • Exhibit general curiosity to go deeper to understand business problems and surface interesting facts

 

This job description is not intended as a comprehensive or exhaustive list of all duties, responsibilities, and qualifications necessary for the position described herein. The duties, responsibilities, and qualifications of the position are subject to change without notice.

All offers of employment are subject to background checks and drug screens prior to start date. Enjoy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local, state, and federal laws and Fair Chance Ordinances.

As an equal opportunity employer, Enjoy is proud to maintain a workplace characterized by mutual respect, inclusivity, and the celebration of diversity. All qualified applicants are welcome and will be considered for employment without regard to race, color, ethnicity, national origin, religion, gender, sex, sexual orientation, gender identity, genetics, disability, veteran status, or other applicable protected characteristic under local, state, or federal law.

 

#LI-ENJOY

About Enjoy

About us Welcome to a new kind of delivery experience. Enjoy offers same-day delivery with personalized setup of today’s best tech products. To bring this to life, we employ incredibly friendly and smart Experts, who are great with tech and even better with people. Our Experts deliver, set up and explain products to customers, all on the same day they order them. And best of all, this is 100% free. Enjoy is founded and led by Ron Johnson, former head of Apple Retail and an executive team from leading retail, technology and design organizations like Apple, Facebook, Amazon and Victoria’s Secret, to name a few.

Want to learn more about Enjoy? Visit Enjoy's website.