Benefits:

Dental insurance

Employee discounts

Flexible schedule

Health insurance

Opportunity for advancement

Paid time off

A Google BigQuery Data Analyst role typically involves developing and executing complex SQL queries to analyze large datasets in BigQuery, performing in-depth data analysis to identify trends and patterns, and creating data visualizations to communicate findings to stakeholders. Responsibilities: Data Analysis: • Experience working with large-scale datasets and complex data structures. • Experience working with data migrated from SAP applications with underlying Oracle databases. • Develop and execute complex SQL queries to extract, transform, and analyze large datasets in BigQuery. • Conduct in-depth data analysis to identify patterns, trends, and anomalies. • Create visualizations (e.g., dashboards, charts) to communicate findings effectively to stakeholders. • Proficiency in data visualization tools (e.g., Looker). Data Modeling: • Strong understanding of data warehousing and data modeling concepts. • Design and implement data models that optimize query performance and data accessibility. • Collaborate with data engineers to ensure data quality and consistency.

Stakeholder Communication: • Clearly communicate findings and recommendations to both technical and non-technical audiences. • Build strong relationships with stakeholders to understand their needs and priorities

Candidate requirements: • 3+ years leveraging BigQuery to drive data-driven insights and inform strategic decision-making • Expertise in writing and optimizing complex SQL queries. • Strong analytical skills to identify trends and patterns in large datasets. • Deep familiarity with Google BigQuery's functions and data processing capabilities. • Ability to design efficient data models for performance optimization. • Proficiency with tools like Looker for creating dashboards and visual reports. • Effectively present findings to both technical and non-technical stakeholders.

Flexible work from home options available.