Data Analyst

Role & responsibilities

• Develop and maintain ETL/ELT data pipelines.
• Build and optimize Redshift data models and analytical datasets.
• Create Tableau-ready datasets and reporting layers.
• Integrate data from ERP, CRM, Manufacturing, IoT, and operational systems.
• Design dimensional models and data marts.
• Ensure data quality, validation, reconciliation, and monitoring.
• Optimize query performance and data processing.
• Collaborate with Analytics, AI teams, and business stakeholders.
• Support Tableau reporting and self-service BI solutions.
• Participate in GitLab-based development, testing, deployment, and code reviews.

Preferred candidate profile

• 3-7 years of Data Engineering experience.
• Strong hands-on experience in SQL, Python, Spark, Airflow, and Redshift.
• Experience with Kafka and MQTT.
• Strong knowledge of Data Warehousing and Dimensional Modeling.
• Experience developing Tableau datasets and supporting BI reporting.
• AWS/Cloud data platform experience.
• Exposure to Manufacturing, Automotive, EV, Connected Vehicle, or IoT data.
• Experience integrating enterprise systems such as ERP, CRM, Supply Chain, Finance, and Operations.
• Good understanding of data quality, governance, KPI reporting, and analytics.