Google Cloud Platform Tools Senior Analyst

About the Role

Key Responsibilities

• Collaborate with cross-functional teams to support and enhance analytics and advanced analytics technologies, with a focus on open-source and GCP-based solutions.
• Provide technical support and training to end-users on open-source tools and platforms.
• Design and implement GCP-based infrastructure to support analytics and modeling teams.
• Evaluate and integrate innovative technologies to enhance enterprise analytics capabilities.
• Partner with data scientists, solution architects, cloud engineers, and business teams to design ML infrastructure and validate data quality.
• Ensure tight integration with BI data engineers, data architects, and ETL developers to support end-to-end analytics workflows.
• Guide analytics teams in selecting and integrating appropriate tools and methods for advanced modeling and decision support.
• Maintain a strong focus on Organizational Change Management to ensure stakeholders are engaged and empowered through communications, training, and collaboration.

Requirements

• Advanced degree in Computer Science, Decision Science, or equivalent experience.
• 5 years of experience in advanced analytics, data science, or open-source computing infrastructure.
• 4 years of hands-on experience with Google Cloud Platform (GCP) architecture and services.
• Minimum 3 years of experience designing solutions for analytics or advanced modeling teams.
• Strong experience applying architectural principles to business challenges and creating technical roadmaps.
• Proficiency in Python and data science libraries and best practices.
• Experience with GCP data warehousing and processing technologies such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Experience with GCP storage solutions like Cloud Storage and BigLake, and data formats such as Parquet, JSON, ORC, and Avro.
• Proficiency in databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL.
• Experience with SparkSQL, Spark MLlib, and third-party machine learning algorithms like XGBoost and LightGBM using PySpark.
• Familiarity with SAS and Linux/Unix environments.
• Understanding of web technologies and modern data architecture.
• Knowledge of advanced technologies including machine learning, NLP, and streaming analytics.
• Experience operating in Scrum and traditional project management environments.
• Excellent communication skills and ability to collaborate across organizational levels.
• Self-starter, creative problem-solver with an innovative mindset.

Nice to Have

• Exposure to or hands-on experience with BI/visualization platforms like Microsoft Fabric / Power BI, Tableau, and/or Looker.
• Professional Cloud Architect certification.
• Financial and/or Banking background.

Qualifications

• High school graduate or equivalency certificate (GED).

Benefits & Perks

• Eligible for a base salary ranging from $79,000 to $120,000 annually depending on experience and location.
• Eligibility for short-term and deferred incentive compensation based on performance.
• Additional benefits available as per company policy.