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

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Qualification

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