Business Intelligence Engineer II

analysis using business intelligence tools and a logical abstraction layer against large, multidimensional datasets and multiple sources and drive business insights.

• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.

• Produce comprehensive, usable data set documentation, metadata, BI reports, Dashboards, and insights.

• Collaborate with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and various technological platforms.

• Recognize and embrace best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

• Respond to high-priority requests from senior business leaders.

• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary data sets.

What You'll Need:

• BA/BS or equivalent in Computer Science, Engineering, Mathematics, or a related field.

• Advanced knowledge of SQL and data modeling

• Intermediate Knowledge in Python and advanced data visualization tools such as Plotly/Dash/React/D3Js etc.

• 3+ years of experience building automated data warehousing environments for production reports or tables. Familiarity with Redshift, Snowflake DWH, and S3 or similar data lakes preferred

• 3+ years' experience with data visualization tools like Tableau, Looker, Quicksight, or similar (familiarity with Tableau preferred).

• 3+ years of experience with data modeling in large Data warehousing, data lake environment

• Advanced ability to draw insights from data and communicate them to the collaborators and senior management as required.

• Be dedicated and show the ability to deliver on ambiguous projects with incomplete or 'dirty' data.

• Knowledge of data management fundamentals and data storage principles.

• Ability and interest in working in a fast-paced and rapidly changing environment.

• Excellent communication skills, both written and verbal

Bonus:

• Experience with AI/ML, specially using LLM/Agents/Bots in Data Engineering/Visualization/Analysis

• Experience in gathering requirements and formulating business metrics for reporting

• Experience building on AWS Platform services

• Experience with statistical models and building predictive 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].

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