Staff Business Intelligence Engineer
Staff Business Intelligence Engineer
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Job Description
Our Opportunity:
Chewy reaches out to millions of pet parents through a variety of marketing channels including physical mails onsite ads TV videos Radio TikTok etc. Our pet parents love our product and our ads. We have the task of deciding what marketing message and channels would be most useful to them and help them discover those products. How do we do this
Meet Marketing Sciences Organization at Chewy. We use the best machine learning techniques and continuously test the outcomes to simplify messaging to our pet parents looking for their pet needs on . Our exceptional multi-disciplinary team of data scientists data engineers software engineers and product managers work together to power personalized messaging and marketing initiative at chewy. Our team has single threaded ownership of the space allowing us to decide impactful products that we can experiment with measure with metrics and deliver at a fast pace.
We are hiring a Staff BI for our Marketing Sciences Organization in Bellevue WA and Boston MA this position you will help us build scalable robust analytics solutions for marketing 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. This role will be expected to go deep into utilizing marketing and customer data to create scalable data solutions analyze channel/campaign effectiveness and provide insights to the business.
What Youll Do:
- Designing developing troubleshooting evaluating deploying and documenting data management and business intelligence systems enabling stakeholders to manage the business and make effective decisions.
- Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
- Design and implement an analytical environment using third-party and in-house reporting tools modeling metadata building reports & dashboards and providing our customers with timely flexible and structured access to their data.
- Ensuring completeness and compatibility of the technical infrastructure to support system performance availability and architecture requirements.
- Reviewing and participating in testing of the data design tool design data extracts/transforms product analytics and experimentation
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
What Youll Need:
- Candidate must possess a bachelors or masters degree in computer science or related field or equivalent experience.
- 10 years of experience with detailed knowledge of BI data warehouse technical architectures infrastructure components ETL/ ELT and reporting/analytic tools
- 8 years of experience with BI/visualization tools like Tableau/BO/OBIEE etc.
- 5 years of work experience in building self-serve BI solutions canned reports and enterprise level BI solutions.
- 4 years of experience with data modeling in large Data warehousing data lake environment
- 4 years of data science experience with building regression classification models
- 4 years of experience with R Python Weka SAS MATLAB or other statistical/machine learning software
- Exposure to Big Data stack environments (EMR Hadoop MapReduce Hive)
- Advanced analytical skills with excellent knowledge of SQL and advance SQL
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with A/B Testing & Optimization techniques.
Bonus:
- Experience in gathering requirements and formulating business metrics for reporting.
- Experience building on AWS Quick Sight Elastic Cache etc.
- Experience with statistical models and building predictive models from scratch.
- Experience with building NLP and sentiment analysis.
Required Experience:
Staff IC
Employment Type
Full-Time
