Data Analyst

We are seeking 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.

Responsibilities include:

• 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.

Qualifications

• Expertise in SQL and Python, with hands-on experience using Pandas and PySpark for analytical workflows.
• Deep understanding of data modeling, batch processing 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.