Business Intelligence Engineer I

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.