Business Intelligence Analyst 3

Primary Function of the Position Design, build, and operate a modern data platform that powers engineering and manufacturing analytics. This role owns the full stack: ingesting and modeling data in Snowflake, implementing business logic in data schemas and services, and developing React-based front-end applications that expose this data to users through interactive dashboards and tools. The position partners closely with stakeholders to ensure data structures, APIs, and visualizations align with business needs. --- Essential Job Duties

• Architect, develop, and maintain scalable data pipelines for both real-time and batch processing, including alternatives to Airflow (e.g., Crosser).
• Design and implement interactive, modular visualizations using modern JavaScript frameworks and Python-based tools.
• Gather and translate business requirements from Engineering, Manufacturing, Analytics, and Finance stakeholders into robust technical solutions.
• Champion platform reliability and best practices: maintain typed, clean codebases; ensure thorough documentation, version control, unit/integration testing, CI/CD, infrastructure-as-code (e.g., Terraform), observability, and runbook development.
• Present goals, metrics, and dashboards to stakeholders with clarity and actionable insights.
• Standardize schemas, metrics, and data contracts across cloud and manufacturing edge environments.
• Enable flexible, business-driven analytics and empower users with self-service tools for user-driven insights.
• Integrate and support cloud data technologies and open-source platforms to deliver secure, high-quality analytics solutions. Required Skills and Experience
• 8-14 years of experience across BI, Data Engineering, Backend, or Full Stack development.
• Advanced proficiency in cloud data and analytics platforms, streaming technologies, and orchestration tools (e.g., Kafka, AWS, Flink/Spark, Airflow or alternatives, DBT, Terraform, Git-based workflows, CI/CD).
• Strong skills in React.js, HTML5, and CSS3 for building data-driven front-end applications integrated with RESTful APIs.
• Backend programming experience with at least one language (such as Node.js or Python) for developing services/APIs that expose analytic data.
• Expertise in SQL, data modeling, and query optimization for scalable and performant analytics solutions.
• Track record of platform reliability through unit/integration testing, typed/documented code, and operational runbooks.
• Experience with manufacturing equipment data and creating related visualizations.
• Strong collaboration and communication skills for requirements gathering and translating business needs into technical solutions. --- Preferred Skills and Experience
• Experience with open-source BI/analytics visualization tools (e.g., Streamlit, Superset).
• Familiarity with time-series/process historians (e.g., Aveva Historian).
• Exposure to self-service analytics and empowering business users to create custom dashboards.
• Background in platform governance, schema evolution, and metric contract management. Education
• Bachelor s or Master s degree in Information Systems, Computer Science, Data Science, or related fields.
• Specializations in BI, Data Engineering, Full Stack Web Development, or Enterprise Systems preferred.