Analyst

Role Overview

• Design, develop, and maintain robust ETL pipelines/BI Dashboards to support data integration, transformation, and workflow automation across multiple systems.
• Demonstrate strong command of SQL and relational database concepts, with the ability to write optimized queries and manage large‑scale data operations.
• Work extensively with Google Cloud Platform (GCP), particularly BigQuery, to design scalable data solutions and support analytical and reporting needs.
• Oversee data quality checks, validation processes, and performance tuning for both on‑premise and cloud‑hosted datasets.
• Monitor, troubleshoot, and resolve production data issues and ETL failures, ensuring minimal downtime and timely incident resolution.
• Coordinate incident management activities—including root cause analysis, issue prioritization, and preventive action planning.
• Collaborate closely with cross‑functional teams such as data engineering, product, and business stakeholders to align data solutions with project requirements.
• Communicate effectively with clients, providing clear updates, technical explanations, and recommendations in a professional and structured manner.
• Prepare technical documentation, data flow diagrams, and process overviews to support knowledge sharing and operational continuity.
• Drive continuous improvement initiatives by identifying opportunities to optimize existing pipelines, workflows, and database processes.
• Ensure adherence to best practices in version control, data governance, and security within cloud and on‑premise environments.

Requirements

• Bachelor’s/Master’s degree in economics, statistics, mathematics, computer science/engineering, operations research, or related analytics areas.
• Strong data analysis experience with complex, real world datasets.
• Superior analytical thinking and problem-solving skills.
• Outstanding written and verbal communication skills with confidence in client interactions.

Tech Stack

• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• SQL