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. Youll work in a fast-moving data-driven environment where youll help build scalable insights solutions optimize reporting and contribute to our mission of making data-driven decisions easier and more accessible for everyone.
What Youll 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 in empowering teams with self-service dashboards and analytics tools.
- Ability to automate manual reporting tasks to drive communication and collaboration skillsable 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 Youll Need:
- Bachelors 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 PythonFamiliarity with data visualization tools (e.g. Tableau Power BI Streamlit Plotly).
- Knowledge of retail and with A/B testing statistical analysis or predictive modeling is a bonus.