Director, Data Engineering and Analytics
Director, Data Engineering and Analytics
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Job Description
Our Opportunity:
At Chewy we aim to to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve not simply by the amount of pet supplies we deliver. Thats why we continue to think of outside-the-Chewy-box ways to delight surprise and thank our loyal pet lovers.
Pharmacy Operations is not only the key to success in our mission but also what makes us successful. To maintain this advantage we are looking to hire an analytical & customer obsessed Director Analytics. The leader in this role will be responsible for building a world class Data & Analytics function for Chewys Pharmacy Operations.
This Director must have a sufficient technical background to understand the technologies and technical issues involved with the product to be able to anticipate and identify critical technical obstacles and to make accurate technology decisions. The Director DE and Analytics also must be able to manage project schedules and task details and apply project management tools such as reports tracking charts etc.
The role comes with lot of autonomy independence and visibility to C level leadership. It is a senior role requiring ability to write papers for C Level review and drive Healthcare and Pharmacy Operational strategy.
What youll do:
- Provide strong leadership and vision for how to drive a Data and Analytics team to create changes in business partnerships analytics and metrics/reporting
- End to end ownership of the data engineering and business intelligence team including gathering inputs from leadership and partner teams roadmap planning and prioritization promoting best practices and mentoring and developing your team
- Leading analytics for cross-functional projects across multiple geographies working with senior business leaders on major initiatives
- Drive development of tools reporting improvement and automation worldwide and create new innovative and insightful reports in a timely manner
- Implement best practices around data extraction collection transformation and processing
- Identify key resources and provide the direction required for meeting project objectives
- Ensure appropriate management operations & technology involvement throughout project lifecycles
- Possess the ability to lead and motivate people and encourage teamwork an ability to communicate effectively with senior management and a clear vision of what determines a successful solution for the customer and for the company
- Design best practices for big data processing data modeling and warehouse development for Chewys Customer Service business
What youll need:
- 10 years of experience in Data Engineering and Analytics field including 5 years of successful business intelligence or analytics team management experience including hiring employee development performance management and delivering results.
- Bachelors degree in mathematics statistics computer science engineering economics or related field
- Experience with big data architectures and data modeling to efficiently process large volumes of data
- Excellent knowledge of data warehouse Data lake principles and reporting. Expert in data engineering building data warehouse data mart and data pipelines
- Experience gathering business requirements using industry standard business intelligence tools to extract data formulate metrics and build reports
- Understand end to end data management interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions
- Experience using SQL advance SQL ETL and big data technologies in a business environment with large-scale complex datasets
- Proven track record of successful communication of analytical outcomes through written communication including an ability to effectively communicate with both business and technical teams
- Experience with various tools and technologies like Redshift S3 ADP Glue EC2 Python Oracle Spectrum Athena OBIEE Tableau etc. in building Data and Analytics platforms.
- Experience with implementing data governance/management best practices
- Experience in driving change/transformation through a larger operations focused organization
Bonus:
- Received a Masters degree
- Experience in setting up data organizations Experience with statistics or Machine Learning methodologies a plus.
Required Experience:
Director
Employment Type
Full Time
