Our Opportunity:
Millions of pet parents with unique needs visit looking for products for their beloved pets. We have the task to decide what products would be most useful to them and help them discover those products. How do we do this
Meet Personalization team @ Chewy. We use best of machine learning techniques and continuously test the outcomes to simplify product discovery for pet parents looking for their pet needs on . Our exceptional multidisciplinary team of data scientists data engineers software engineers and product managers work together to power personalized recommendations and product discovery for pet parents. Our team has single threaded ownership of the space allowing us to decide impactful products that we can experiment measure with metrics and deliver at a fast pace.
We are hiring a Lead BI for our Personalization team in Boston MA. In this position you will help us build scalable robust analytics solutions for Personalization at Chewy. You will demonstrate a passion for delivering outstanding customer experience experience of building scalable solutions and will bring communication skills that allow you to instill trust in the team that you are working with.
What Youll Do:
- Design develop implement test document and operate largescale highvolume highperformance data models reports/dashboards/BI solutions for analytics and deep learning
- Implement data ingestion routines both real time and batch using best practices in data modeling ETL/ELT processes
- Provide online reporting and analysis using business intelligence tools and a logical abstraction layer against large multidimensional datasets and multiple sources
- Gather business and functional requirements and translate these requirements into robust scalable operable solutions that work well within the overall data architecture
- Produce comprehensive usable data set documentation metadata BI reports Dashboards and insights
What Youll Need:
- Candidate must possess a Bachelors degree in Computer Science or related field or equivalent experience
- 7 years of experience with detailed knowledge of BI data warehouse technical architectures infrastructure components ETL/ ELT and reporting/analytic tools
- 5 years of experience with BI/visualization tools like Tableau/BO/OBIEE etc.
- 3 years of work experience in building selfserve BI solutions canned reports and enterprise level BI solutions
- 3 years of experience with data modeling in large Data warehousing data lake environment
- 3 years of medium to advanced objectoriented programing on Python or Java skills on industry projects
- 2 years of data science experience with building regression classification models
- Exposure to Big Data stack environments (EMR Hadoop MapReduce Hive)
- Good analytical skills with excellent knowledge of SQL and advance SQL
- Excellent communication skills both written and verbal
- Experience with A/B Testing & Optimization techniques
Bonus:
- Experience in gathering requirements and formulating business metrics for reporting
- Experience building on AWS QuickSight ElasticCache etc
- Experience with statistical models and building predictive models from scratch
- Experience with building NLP and sentiment analysis