Business Intelligence Engineer III - Fulfillment Network

Bellevue - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Our Opportunity:

Chewy is looking for a Business Intelligence Engineer III to demonstrate a wide set of technical and analytical skills to help us advance our business and product analytics domain across the fulfillment this role youll be instrumental in scaling our data infrastructure reporting capabilities and analytical frameworks. Youll work with teams across the business gaining exposure to diverse domains and influencing decision-making at the highest levels. Join a collaborative fast-paced team where youll tackle new challenges daily contribute to meaningful outcomes and grow alongside Chewys core business strategy.

Duties of this position include but are not limited to setting up data pipelines analyzing large data sets investigating data anomalies developing intuitive data visualizations extracting actionable insights communicating results with customers developing solutions for complex business problems and automating manual data processes.

What Youll Do:

Develop build and uphold scalable and efficient data pipelines for the intake conversion and storage of large datasets
Implement data governance quality checks and standard processes around ETL/ELT pipelines and cloud data infrastructure
Build and maintain data pipelines using AWS services such as Redshift S3 Athena etc
Build schedule and orchestrate scalable data pipelines using Apache Airflow on AWS MWAA to automate ETL/ELT processes
Partner closely with Data Analysts Data Scientists and Engineers to support ongoing data initiatives and scalable architecture improvements
Mentor junior BI engineers and contribute to setting engineering standards and practices
Build interactive scalable and visually appealing dashboards to support complex business needs and executive decision-making primarily using Tableau with potential use of Plotly Dash Streamlit or equivalent
Act as an internal advocate for adopting modern data visualization reporting practices and cloud technologies by showcasing their business impact through meaningful use cases
Build automation scripts in Python to streamline data ingestion transformation and reporting processes and create interactive data visualizations using Python libraries like Plotly Dash Matplotlib etc
Integrate new technologies into existing BI architectures to improve performance reduce costs or enhance user experience
Stay abreast of innovations in AI-powered data tools to find opportunities for improved insights automation and decision-making
Communicate findings results and recommendations to cross-functional partners at all levels through clear presentations reports and visualizations

What Youll Need:

Bachelors degree in quantitative field (e.g. Statistics Mathematics Data Science Economics Computer Science) or equivalent experience.
7 years of experience with detailed knowledge of BI data warehouse technical architectures infrastructure components ETL/ ELT and reporting/analytic tools
4 years of experience with data modeling in large Data warehousing data lake environment
4 years of experience with visualization tools like Tableau PowerBI or equivalent
3 years of work experience in building self-serve and enterprise level BI solutions
Experience working with data platforms such as: Snowflake AWS Vertica or other RDB
Advanced knowledge of SQL (complex querying and optimization)
Advanced knowledge of Python
Familiarity with using LLMs and AI Agents to automate data and analytical workflows
Excellent written and verbal communication skills with ability to convey complex ideas to non-technical partners and senior leaders

Bonus: (if applicable):

Masters degree in Analytics or equivalent advanced academic degree
Experience with statistical models and building predictive models from scratch

Our Opportunity:Chewy is looking for a Business Intelligence Engineer III to demonstrate a wide set of technical and analytical skills to help us advance our business and product analytics domain across the fulfillment this role youll be instrumental in scaling our data infrastructure reporting cap...

Our Opportunity:

What Youll Do:

Develop build and uphold scalable and efficient data pipelines for the intake conversion and storage of large datasets
Implement data governance quality checks and standard processes around ETL/ELT pipelines and cloud data infrastructure
Build and maintain data pipelines using AWS services such as Redshift S3 Athena etc
Build schedule and orchestrate scalable data pipelines using Apache Airflow on AWS MWAA to automate ETL/ELT processes
Partner closely with Data Analysts Data Scientists and Engineers to support ongoing data initiatives and scalable architecture improvements
Mentor junior BI engineers and contribute to setting engineering standards and practices
Build interactive scalable and visually appealing dashboards to support complex business needs and executive decision-making primarily using Tableau with potential use of Plotly Dash Streamlit or equivalent
Act as an internal advocate for adopting modern data visualization reporting practices and cloud technologies by showcasing their business impact through meaningful use cases
Build automation scripts in Python to streamline data ingestion transformation and reporting processes and create interactive data visualizations using Python libraries like Plotly Dash Matplotlib etc
Integrate new technologies into existing BI architectures to improve performance reduce costs or enhance user experience
Stay abreast of innovations in AI-powered data tools to find opportunities for improved insights automation and decision-making
Communicate findings results and recommendations to cross-functional partners at all levels through clear presentations reports and visualizations

What Youll Need:

Bachelors degree in quantitative field (e.g. Statistics Mathematics Data Science Economics Computer Science) or equivalent experience.
7 years of experience with detailed knowledge of BI data warehouse technical architectures infrastructure components ETL/ ELT and reporting/analytic tools
4 years of experience with data modeling in large Data warehousing data lake environment
4 years of experience with visualization tools like Tableau PowerBI or equivalent
3 years of work experience in building self-serve and enterprise level BI solutions
Experience working with data platforms such as: Snowflake AWS Vertica or other RDB
Advanced knowledge of SQL (complex querying and optimization)
Advanced knowledge of Python
Familiarity with using LLMs and AI Agents to automate data and analytical workflows
Excellent written and verbal communication skills with ability to convey complex ideas to non-technical partners and senior leaders

Bonus: (if applicable):

Masters degree in Analytics or equivalent advanced academic degree
Experience with statistical models and building predictive models from scratch

Key Skills

Business Intelligence
Cognos
SQL
Power BI
QlikView
Data Visualization
ssrs
Tableau
SSIS
Data Modeling
Data Warehouse
Data Analysis Skills

Apply Now

About Company

Chewy

Shop Chewy for the best pet supplies ranging from pet food, toys and treats to litter, aquariums, and pet supplements plus so much more! If you have a pet-or soon will-you've come to the right place. Shop for all of your pet needs at Chewy's online pet store. FREE shipping on orders $ ... View more

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