Business Intelligence Engineer I

Full Time
Richardson, TX, USA
3 weeks ago

Our Opportunity:

We are seeking an entry level Business Intelligence Engineer to join our dynamic team. As a key member of our Customer Care data analytics department, you will play a pivotal role in supporting our data-driven decision-making. This role is perfect for someone who loves working with SQL, Python, and modern visualization tools, and who wants to grow their skills in streaming data, automation, and cloud-based analytics. You'll work in a fast-moving, data-driven environment where you’ll help build scalable insights solutions, optimize reporting, and contribute to our mission of making data-driven decisions easier and more accessible for everyone.

What You'll Do:

  • Develop and optimize queries to extract and analyze data from large-scale databases.
  • Work with real-time and batch data processing to support operational reporting and alerting.
  • Build dynamic dashboards and self-service analytics solutions using modern visualization tools (Tableau, Streamlit, Plotly, etc.).
  • Automate data collection and reporting workflows, reducing manual effort for the business.
  • Assist in designing data pipelines for customer care analytics, ensuring data is structured for ease of use and scalability.
  • Collaborate with cross-functional teams (engineering, operations, product, and customer experience) to identify and solve business problems using data.
  • Implement data validation, monitoring, and quality checks to ensure clean, reliable data for stakeholders.
  • Stay up to date on emerging trends in BI, data engineering, and cloud computing to improve our analytics stack.
  • Interest in empowering teams with self-service dashboards and analytics tools.
  • Ability to automate manual reporting tasks to drive efficiency.
  • Strong communication and collaboration skills—able to work effectively with business and technical teams.
  • Support senior analysts in conducting data analysis projects.
  • Learn and apply data analysis techniques and best practices.
  • Participate in team meetings and contribute to knowledge sharing.

What You'll Need:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Understanding of SQL and relational databases.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Eagerness to learn and develop data analysis skills

Nice to Have:

  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Experience with Python
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Streamlit, Plotly).
  • Knowledge of retail and e-commerce.
  • Experience with A/B testing, statistical analysis, or predictive modeling is a bonus.

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 CAAR@chewy.com.

 

If you have a question regarding your application, please contact HR@chewy.com.

 

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