Business Intelligence Analyst
Role details
Job location
Tech stack
Job description
The Business Intelligence Analyst plays a critical role in supporting Zoro's mission by enabling data-driven decisions throughout the company. This role requires a blend of technical expertise and business acumen to deliver actionable insights. The Analyst collaborates with senior BI Team members and stakeholders across Category Management, Technology, Revenue, Digital Experience, Customer Fulfillment, and Finance. Key responsibilities include maintaining data models, building dashboards, and ensuring the accuracy and usability of data across the company, empowering stakeholders to make better decisions, and leveraging AI tools to drive deeper, more predictive insights in line with Zoro's AI-first approach., * Support the design, development, and maintenance of data models, reports, and dashboards in tools, such as Looker.
- Collaborate with stakeholders to translate business needs into effective data solutions that drive actionable insights.
- Partner with stakeholders to validate data accuracy, identify discrepancies, and support data quality improvement initiatives.
- Partner with senior BI Team members to learn best practices for BI development, testing, and documentation.
- Assist with the automation of recurring reporting processes to improve efficiency.
- Contribute to team knowledge sharing by documenting processes and insights.
- Explore and utilize AI-assisted solutions (e.g., conversational analytics, generative AI tools) to enhance self-service analytics and automate processes.
Requirements
- Bachelor's degree in a quantitative field such as Analytics, Information Systems, Mathematics, or Business.
- Strong proficiency in SQL and principles of data visualization.
- Familiarity with Business Intelligence tools (Looker preferred).
- Strong attention to detail, analytical thinking, and curiosity about data.
- Effective communication skills and ability to collaborate with technical and non-technical partners., * Advanced SQL.
- Proficiency in Looker and LookML.
- Familiarity with scripting/programming languages (e.g., Python, R).
- Knowledge of data warehousing principles and cloud data platforms (BigQuery desired).
- Experience with generative AI tools for data analysis, automation, or insights generation.