Our Opportunity:

　　Chewy is looking for a Business Intelligence Engineer III to join our Healthcare Analytics Team. In this role, you will be responsible for delivering scalable data infrastructure, developing self-serve analytics tools, and utilizing data visualizations to unlock insights. You will partner directly with Product leaders, IT software and data engineers, business analysts, and business teams to anticipate the data infrastructure and tooling needs of the organization and proactively build solutions that fuel insights.

　　As part of a team that is constantly launching new businesses and features, you will be responsible for leveraging technical solutions to transform raw data from multiple sources into actionable insights. The ideal candidate is process-oriented, has proven experience integrating and scaling data applications, and intuitively drives improvements through connecting systems with business processes. This candidate has exemplary data visualization and technical problem-solving skills and a penchant for detail. Further, this individual is highly proficient in partnering across technology and business teams and has proven experience delivering high quality results with minimal direction from leadership. Strong written and verbal communication skills are required as this role will interface directly with cross-functional teams to roll out new tools, communicate data infrastructure changes, and share analytical findings with executive leaders.

　　What you'll do:

　　Design and implement data solutions best-suited to deliver business needs and use cases — from data lakes to analytics tools, across a progressively evolving technical stack.

　　Design experiments, develop measurement frameworks, and partner with Product, Tech, and business leaders to generate results, insights, and actions from product launches and feature changes

　　Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.

　　Proactively assess the data needs of Healthcare and related functions and partner with technical teams to deliver proof of concepts, QA data sources, and deliver new data tables, metrics, and analytics products

　　Lead efforts to automate data extraction and distribution of reports to multiple stakeholders

　　Own and continually improve metrics documentation and data governance

　　Construct and deliver analytics product roadmaps that deliver insightful and user-friendly dashboards for both internal and external customers

　　Partner with IT teams to construct downstream impact analysis and own change management communication for Healthcare data sources

　　Document technical details of your work using industry standard protocols like Jira, Confluence etc.

　　Proactively monitor existing metrics, propose new metrics, and work across the organization to deliver actionable intelligence

　　What you'll need:

　　Proven experience analyzing clickstream data from sources such as Google Analytics, Adobe, Segment or other platform

　　Strong understanding and experience leading experiment design, A/B testing, and other frameworks for evaluating effectiveness of feature and product changes

　　4-year Bachelor’s degree in Computer Science, MIS, Business Analytics, Industrial Engineering or a related field

　　7+ years automating data processes, developing dashboards, and building scalable analytics solutions in an ecommerce, omni-channel, or retail setting

　　5+ years of experience managing ETL or data transformation processes, technical architecture documents, and delivering net new or enhancing existing data warehouses

　　5+ years of experience working with data platforms such as: Snowflake, AWS, Vertica, or other RDB

　　Strong working knowledge of SQL and proven ability to write, debug, and optimize SQL queries

　　Programming expertise in Java, Python, Scala, or another modern programming language

　　Proven experience building self-serve BI solutions and automated reports that enable automated alerting and data quality monitoring

　　Ability to tailor analytics products to meet the needs of end customers using tools ranging from Excel to Tableau

　　Proven experience with data modeling in large Data warehousing / data lake environments

　　Strong written and verbal communication skills and experience leading change management processes

　　Proven experience delivering high quality and insightful data visualizations and translating complex data into actionable insights

　　Exemplary stakeholder management and prioritization skills using systems, processes, and scalable frameworks

　　Thorough understanding of Financial KPIs and P&L statement

　　Superior attention to detail and experience building processes to validate data integrity

　　Proven experience leading teams and delivering results in ambiguous and resource constrained environments

　　Ability to travel up to 10% of the time

　　Bonus:

　　Advanced degree such as Masters in Analytics or MBA

　　Project Management Certification

　　Experience partnering with Data Science teams to deliver machine learning models from scratch

　　Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected] .

　　If you have a question regarding your application, please contact [email protected] .

　　To access Chewy's Customer Privacy Policy, please click here (https://www.chewy.com/app/content/privacy) . To access Chewy's California CPRA Job Applicant Privacy Policy, please click here (https://chewyinc.phenompro.com/us/en/privacy-policy) .