Senior Analyst

As a Senior Analyst, Data Engineering you will support the design, development, and maintenance of business intelligence capabilities with special focus on SQL and Python as tools to create automated pipelines. You will apply knowledge of data structures and pipelines to contribute to the organization's data-driven decision making, play a key role in shaping and re-designing the data architecture, and drive insights that impact business outcomes.

Your Responsibilities:

• Conceptualize, develop and document data pipeline architecture to support reporting tools.
• Support the creation of automated reporting backends with high levels of efficiency and accuracy in GCP and Teradata.
• Maintain a functional expertise of the client data, its nature, and documentation.
• Own existing processes in production, optimizing its code and creating additional documentation.
• Collaborate effectively with cross-functional team members to understand data needs and develop meaningful solutions.
• Contribute to the automation of quality assurance and data processes to ensure accuracy and efficiency.

Requirements

• 2+ Years of relevant experience in Google Cloud services such as BigQuery, GCS, Cloud SQL, ML, DataStudio, or similar Cloud services experience.
• Highly proficient in SQL and Python.
• Detail oriented while keeping sight of bigger picture.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience analyzing data to identify issues and inconsistencies.
• Passionate about data and understanding consumer behavior.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Familiarity with version control software (Git) and writing technical documentation.
• Knowledge of data testing and DBT is a big plus.