Data Operations Analyst

Role & responsibilities

• Design, develop, and maintain data pipelines for ingesting, transforming, and integrating data from multiple enterprise systems.
• Manage and optimize cloud-based data platforms (GCP, BigQuery, AWS) to support reporting, analytics, and business intelligence initiatives.
• Ensure data quality, governance, security, and compliance, including management of sensitive and PII data.
• Perform data profiling, validation, cleansing, and root-cause analysis to resolve data issues and improve reliability.
• Develop curated datasets and data models to support dashboards, self-service reporting, and advanced analytics use cases.
• Collaborate with business stakeholders to understand reporting and analytics requirements and translate them into scalable data solutions.
• Support integration of new data sources, including e-commerce, operational, customer, and digital datasets.
• Partner with global teams on data platform enhancements, data governance initiatives, and enterprise analytics programs.
• Maintain technical documentation, metadata standards, and data lineage across the data ecosystem.

Preferred candidate profile

• 3 to 5 years of experience in Data Engineering, Data Analytics, Data Warehousing, or Cloud Data Platforms.
• Strong SQL skills and hands-on experience with ETL/ELT development and data integration.
• Experience with GCP (BigQuery preferred), AWS, or Azure.
• Knowledge of data modeling, data warehousing, and data governance principles.
• Experience with reporting and visualization tools such as Power BI, Tableau, Looker or Looker Studio.
• Familiarity with Python and Git/version control practices.