Data Analyst

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We are seeking a Data Analyst to support strategic and operational decision‑making through rigorous data analysis, automation, reporting, and visualization. The ideal candidate has a combination of strong analytical and SQL skills with fluency in data modeling and automation.

• Design, build, and maintain automated data pipelines and dashboards to support business operations, planning, and performance tracking.
• Conduct data validation, cleansing, and transformation on structured and semi‑structured datasets using SQL, Python, and Spark.
• Perform exploratory data analysis and develop ad‑hoc analytical models to identify trends, anomalies, and optimization opportunities.
• Support data governance, quality assurance, and contract validation efforts within the enterprise data platform.
• Develop and maintain KPI frameworks across finance, supply chain, and operations domains; ensure data definitions are consistent across systems.
• Translate complex data into clear, actionable insights through well‑structured narratives, visualizations, and business presentations.
• Partner closely with engineering, finance, operations, and product teams to align analytical outputs with business priorities.
• Contribute to the development of analytical feature stores and assist Data Science teams with dataset preparation for modeling and ML pipelines.

• Expertise in SQL and Python, with hands‑on experience using Pandas and PySpark for analytical workflows.
• Deep understanding of data modeling, ETL design, and performance optimization for analytical queries.
• Experience in business analytics, forecasting, or operational planning within enterprise environments preferred.
• Familiarity with EKS and EMR deployments, as well as data frameworks such as Apache Airflow, Flink, and Kafka, is a plus.
• Strong communication skills, with the ability to articulate analytical findings and recommendations to technical and non‑technical stakeholders alike.

Entry level

Full‑time

Information Technology, Analyst, and Engineering

Data Infrastructure and Analytics, Manufacturing, and Software Development

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