Chewy
Business Intelligence Engineer II
Chewy, Plantation, Florida, United States,
Our Opportunity:
Chewy is looking for a Business Intelligence Engineer II 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 business launch leaders, IT software and data engineers, business analysts, and product 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 has proven experience integrating and scaling data applications plus exemplary data visualization and technical problem-solving skills. 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, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Own development of proof of concepts, QA data sources, and partner in delivering new data tables, metrics, and analytics products
Partner in leading efforts to automate data extraction and distribution of reports to multiple stakeholders
Own and continually improve metrics documentation and data governance
Contribute to 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:
4-year Bachelor’s degree in Computer Science, MIS, Business Analytics or a related field
3+ years automating data processes, developing dashboards, and building scalable analytics solutions in an ecommerce, omni-channel, or retail setting
3+ years of experience managing ETL or data transformation processes, technical architecture documents, and delivering net new or enhancing existing data warehouses
3+ 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
Proficiency analyzing clickstream data from Google Analytics or Segment
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 CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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) .
Chewy is looking for a Business Intelligence Engineer II 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 business launch leaders, IT software and data engineers, business analysts, and product 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 has proven experience integrating and scaling data applications plus exemplary data visualization and technical problem-solving skills. 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, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Own development of proof of concepts, QA data sources, and partner in delivering new data tables, metrics, and analytics products
Partner in leading efforts to automate data extraction and distribution of reports to multiple stakeholders
Own and continually improve metrics documentation and data governance
Contribute to 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:
4-year Bachelor’s degree in Computer Science, MIS, Business Analytics or a related field
3+ years automating data processes, developing dashboards, and building scalable analytics solutions in an ecommerce, omni-channel, or retail setting
3+ years of experience managing ETL or data transformation processes, technical architecture documents, and delivering net new or enhancing existing data warehouses
3+ 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
Proficiency analyzing clickstream data from Google Analytics or Segment
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 CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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) .