Business Intelligence Manager III
3 hours ago
Chewy is expanding its Healthcare Analytics Team and seeking a Manager, Business Intelligence III to lead end-to-end analytics for our CarePlus and Content businesses (PetMD and BeChewy). As the Analytics leader, you will own scalable data infrastructure, develop self-serve analytics tools, and use intuitive data visualizations to unlock insights.
You will partner directly with business General Managers, Product leaders, IT Software and Data Engineers, and Business Analysts to anticipate data infrastructure and tooling needs and proactively build solutions that tackle problems.
The ideal candidate is proficient in building analytics tools and leading deep-dives on clickstream and customer engagement data in a digital context.
This role requires strong leadership abilities, written and verbal communication skills, and experience leading organisational change processes.
Key responsibilities include:
- Developing analytics frameworks and owning analyses that quantify the impact of digital assets on key customer and financial indicators
- Designing experiments and partnering with Product, Tech, and business leaders to generate results, insights, and actions from product launches and feature changes
- Constructing and delivering analytics product roadmaps that deliver insightful and user-friendly dashboards for both internal and external customers
- Designing, developing, optimizing, and maintaining data architecture and pipelines that adhere to ETL principles and business goals
- Proactively assessing the data needs of Healthcare and related functions and partnering with technical teams to deliver proof of concepts, QA data sources, and deliver new data tables, metrics, and analytics products
- Leading efforts to automate data integration, extraction, and distribution of reports to multiple partners
- Own and continually improving metrics documentation and data governance
- Partnering with IT teams to construct downstream impact analysis and owning organisational change communication for Healthcare data sources
- Documenting technical details of work using Jira, Confluence, Git, etc.
- Proactively monitoring existing metrics, proposing new metrics, and working across the organisation to deliver actionable intelligence
Requirements include:
- Demonstrable experience analyzing and delivering insights from clickstream data from sources such as Segment, Google Analytics, Adobe or comparable platform
- Solid understanding and experience leading experiment design, A/B testing, and other frameworks for evaluating effectiveness of feature and product changes
- Demonstrable experience developing self-serve BI solutions and automated reports, including tools that enable defect alerting and data quality monitoring
- 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 (Tableau strongly preferred)
- 5+ years of experience running 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 demonstrable ability to write, debug, and optimize SQL queries
- Programming expertise in Python, Java, Scala, or another modern programming language
- Demonstrable experience with data modeling in large, cloud-based Data warehousing / data lake environments (Snowflake strongly preferred)
- Strong leadership abilities
- 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 partner management and prioritization skills using systems, processes, and scalable frameworks
- Thorough understanding of Financial indicators 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
Bonus requirements include:
- Advanced degree or equivalent experience such as Masters in Analytics or MBA
- Project Management Certification
- Experience collaborating with Data Science teams to deliver machine learning models from scratch
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