Business Intelligence Engineer II

Chewy - Plantation, FL

Full-time - Mid Level

Plantation, FL

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Chewy is growing! We are 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 applying 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 using technical solutions to transform raw data from different sources into actionable insights. We are looking for a candidate has demonstrable experience integrating and scaling data applications plus exemplary data visualization and technical problem-solving skills. We are looking for an individual that is highly proficient in collaborating across technology and business teams and has demonstrable 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 multi-functional teams to roll out new tools, communicate data infrastructure changes, and share analytical findings with executive leaders.

Responsibilities

• Design and implement data solutions best-suited to deliver business needs and use cases - from data lakes to analytics tools, across a dynamically evolving technical stack.
• Design, develop, optimize, and maintain data architecture and pipelines that implement 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 collaborators.
• Own and continually improve metrics documentation and data governance.
• Give 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 organisational change 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.

Requirements

• 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 running 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 demonstrable ability to write, debug, and optimize SQL queries.
• Programming expertise in Java, Python, Scala, or another modern programming language.
• Demonstrable 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.
• Demonstrable experience with data modeling in large Data warehousing / data lake environments.
• Strong written and verbal communication skills and experience leading organisational change processes.
• Demonstrable experience delivering high quality and insightful data visualizations and translating complex data into actionable insights.
• Exemplary collaborator management and prioritization skills using systems, processes, and scalable frameworks.
• Thorough understanding of Financial critical metrics and P&L statement.
• Superior attention to detail and experience building processes to validate data integrity.
• Demonstrable experience leading teams and delivering results in ambiguous and resource constrained environments.
• Ability to travel up to 10% of the time.

Nice-to-haves

• Advanced degree or equivalent experience such as Masters in Analytics or MBA.
• Project Management Certification.
• Experience working with Data Science teams to deliver machine learning models from scratch.
• Proficiency analyzing clickstream data from Google Analytics or Segment.