GroupM

Data Analyst

• Feedback Strategy Support: Assist in the design and implementation of multi-channel strategies for gathering user feedback (e.g., in-product surveys, external tools, pop-up questions).
• Survey Development & Deployment: Support the creation, testing, and deployment of surveys to gather quantitative ratings and qualitative commentary, under supervision.
• Data Analysis & Synthesis: Perform initial analysis of structured survey data and unstructured text feedback to identify basic trends and themes; learn and apply statistical concepts under guidance.
• Reporting & Data Visualization: Assist in developing and distributing feedback summary reports and creating dashboards for data reporting, focusing on clear and accurate representation.
• Contribute to maintaining a comprehensive calendar and repository of all survey instruments.
• Assist in producing regular feedback insight reports.
• Support the categorization and organization of qualitative feedback.
• Help provide qualitative and quantitative user feedback data to the Digital Pulse for storage and to Value Measurement and Customer Insights for deeper analysis.
• Assist in consuming platform access from product teams to embed surveys; data storage and processing from Digital Pulse.
• Collaborate effectively with colleagues in the Survey Operations & Analytics team, including survey programmers, third-party vendors, and partners, for efficient survey execution and data collection.
• Work with virtual, multicultural global teams.

Senior Data Analyst

Data Engineer

• Design, develop, and maintain scalable data pipelines for ingesting, transforming, and loading data from various sources into BigQuery.
• Work with diverse data formats including JSON, CSV, Avro, and Parquet, ensuring efficient data handling and storage.
• Implement and manage data storage solutions within Google Cloud Storage (GCS) for raw data and backups; optimize BigQuery for performance and cost-efficiency.
• Develop and orchestrate ETL/ELT processes, including managed daily batch ingestion, to support data analytics and reporting needs.
• Collaborate with data analysts and product teams to understand data requirements and translate them into technical solutions.
• Ensure data quality, governance, and security by implementing IAM roles, adhering to logging/auditing standards, and managing schema.
• Utilize SQL and Python for data manipulation and pipeline development; contribute to CI/CD processes and maintain documentation for data solutions.

Senior Data Analyst

Senior GCP Data Engineer