Business Intelligence Analyst

Data Engineer

Job Overview: Pay Range: $43.33hr - $48.33hr

Responsibilities:

• Architect, develop, and maintain scalable data pipelines for real-time and batch processing.
• Design and implement interactive, modular data visualizations using modern JavaScript frameworks and Python-based tools.
• Gather and translate business requirements from Engineering, Manufacturing, Analytics, and Finance stakeholders into technical solutions.
• Ensure platform reliability by maintaining clean, typed codebases with proper documentation, version control, and testing practices.
• Implement CI/CD pipelines, infrastructure-as-code (e.g., Terraform), observability, and operational runbooks.
• Present dashboards, metrics, and insights to stakeholders in a clear and actionable manner.
• Standardize data schemas, metrics, and data contracts across cloud and edge environments.
• Enable self-service analytics capabilities for business users.
• Integrate and support cloud data technologies and open-source platforms to deliver secure and scalable analytics solutions.

Qualifications:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
• 8–14 years of experience in Business Intelligence, Data Engineering, Backend, or Full Stack development.
• Strong proficiency in SQL, data modeling, and query optimization.
• Experience with cloud data platforms, streaming technologies, and orchestration tools (e.g., Kafka, AWS, Spark/Flink, Airflow, DBT, Terraform, CI/CD).
• Front-end development experience with React.js, HTML5, and CSS3.
• Backend development experience with languages such as Node.js or Python.
• Strong experience in building scalable and reliable data platforms with testing and documentation practices.
• Excellent communication and stakeholder collaboration skills.

Preferred Qualifications:

• Experience with open-source BI and visualization tools such as Streamlit or Superset.
• Familiarity with time-series data systems or process historians (e.g., Aveva Historian).
• Experience enabling self-service analytics and dashboarding for business users.
• Knowledge of platform governance, schema evolution, and data contract management.
• Experience working with manufacturing or industrial data environments.

Skills And Competencies:

• Strong analytical and problem-solving skills.
• Expertise in data architecture and scalable system design.
• Ability to translate complex business needs into technical solutions.
• Strong attention to detail and commitment to data quality and reliability.
• Effective communication and stakeholder management skills.