Business Intelligence Engineer III at Chewy

Short Description:

The Business Intelligence Engineer III role at Chewy's Healthcare Analytics Team in Boston involves designing and implementing scalable data solutions, conducting experiments, and optimizing data architecture. The position requires a strong background in automating data processes, managing ETL, and working with platforms like Snowflake and AWS. The ideal candidate should possess advanced skills in SQL and programming languages like Java or Python. Effective communication, stakeholder management, and a proven ability to deliver high-quality data visualizations are crucial. Bonus qualifications include an advanced degree, project management certification, and experience collaborating with Data Science teams on machine learning models. Chewy is committed to diversity and inclusion, offering accommodations for applicants with disabilities.

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Position: Business Intelligence Engineer III

Location: Boston, Massachusetts, United States

Category: Product Management & Product Design

Employment Type: Regular Full Time

Job Code: R19253

Overview:

Join Chewy's Healthcare Analytics Team as a Business Intelligence Engineer III, where you'll play a crucial role in delivering scalable data infrastructure, creating self-serve analytics tools, and leveraging data visualizations to unlock valuable insights. Collaborate with Product leaders, IT software and data engineers, business analysts, and cross-functional teams to anticipate and address the organization's data infrastructure and tooling needs. As a key member in a dynamic environment, you'll utilize technical solutions to transform raw data into actionable insights for new businesses and features.

Responsibilities:

Design and implement data solutions:

• Develop solutions tailored to business needs, covering data lakes, analytics tools, and a progressive technical stack.
• Construct experiments, measurement frameworks, and collaborate with Product, Tech, and business leaders to extract insights from product launches and feature changes.

Optimize and maintain data architecture:

• Develop, optimize, and maintain data architecture and pipelines adhering to ETL principles and business goals.
• Assess data needs for Healthcare and related functions, partnering with technical teams for proof of concepts, QA data sources, and new data tables.

Automation and distribution:

• Lead efforts to automate data extraction and report distribution to multiple stakeholders.
• Own and enhance metrics documentation and data governance.

Analytics product roadmaps:

• Construct and deliver analytics product roadmaps, providing insightful and user-friendly dashboards for internal and external customers.

Change management and collaboration:

• Collaborate with IT teams for downstream impact analysis and own change management communication for Healthcare data sources.
• Document technical details using industry standard protocols such as Jira and Confluence.

Monitoring and proposing improvements:

• Proactively monitor existing metrics, propose new metrics, and collaborate across the organization to deliver actionable intelligence.

Requirements:

Technical Expertise:

• Proven experience analyzing clickstream data from platforms like Google Analytics, Adobe, Segment, or others.
• Strong understanding and experience leading experiment design, A/B testing, and other frameworks for evaluating feature and product changes.
• Bachelor's degree in Computer Science, MIS, Business Analytics, Industrial Engineering, or a related field.

Experience:

• 7+ years automating data processes, developing dashboards, and building scalable analytics solutions in ecommerce, omni-channel, or retail settings.
• 5+ years managing ETL or data transformation processes, technical architecture documents, and delivering new or enhancing existing data warehouses.
• 5+ years working with data platforms like Snowflake, AWS, Vertica, or other RDB.
• Strong SQL knowledge and ability to write, debug, and optimize queries.
• Programming expertise in Java, Python, Scala, or another modern language.
• Proven experience building self-serve BI solutions and automated reports enabling alerting and data quality monitoring.
• Ability to tailor analytics products to meet customer needs using tools ranging from Excel to Tableau.
• Experience with data modeling in large Data warehousing/data lake environments.

Skills:

• Strong written and verbal communication skills, experienced in leading change management processes.
• Proven ability to deliver high-quality and insightful data visualizations, translating complex data into actionable insights.
• Exemplary stakeholder management and prioritization skills.
• Thorough understanding of Financial KPIs and P&L statements.
• 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 (e.g., Masters in Analytics or MBA).
• Project Management Certification.
• Experience partnering with Data Science teams to deliver machine learning models from scratch.

Diversity and Inclusion:

Chewy is committed to equal opportunity, valuing and embracing diversity and inclusion among all Team Members. If you have a disability under the Americans with Disabilities Act or a similar law, and require accommodation during the application process or for job requirements, please reach out to us.

Please click here to apply.

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