Jobs · himalayas
Data Analyst – Google BigQuery and Generative AI Specialist
Nimbus Data Systems · United States · Posted 15d ago
About the role
Extract, transform, and analyze data using Google BigQuery and Generative AI to drive strategic decisions.
This is a remote position. Nimbus Data Systems is a dynamic and innovative Data Analytics company dedicated to leveraging data-driven insights for informed decision-making. We are seeking a skilled Data Analyst with expertise in Google BigQuery and Generative AI to join our growing team. If you are passionate about transforming data into actionable intelligence and have experience with cutting-edge analytics tools, we want to hear from you! Job Description: As a Data Analyst – Google BigQuery Generative AI Specialist, you will play a pivotal role in extracting, transforming, and analyzing data to unlock valuable insights that drive strategic decisions within the organization. You will be responsible for leveraging Google BigQuery and Generative AI tools to ensure efficient data processing and advanced analytics capabilities. Your primary focus will be on harnessing the power of these technologies to enhance data-driven decision-making and support various business functions. Key Responsibilities: Data Integration and Transformation: Collaborate with cross-functional teams to gather, clean, and preprocess data from various sources into Google BigQuery, ensuring data quality and consistency. Advanced Analytics: Utilize Google Generative AI and other analytics tools to perform advanced data analysis, predictive modeling, and machine learning tasks to identify trends, patterns, and actionable insights. Data Visualization: Create compelling data visualizations and reports using tools like Data Studio or Looker to communicate findings effectively to stakeholders. Optimize Query Performance: Fine-tune and optimize SQL queries within Google BigQuery to ensure efficient data retrieval and processing. Data Security: Implement data security and access control measures to safeguard sensitive information and ensure compliance with data protection regulations. Continuous Learning: Stay updated on industry trends, emerging technologies, and best practices in data analytics and machine learning to drive innovation within the organization. Requirements Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (Master's degree preferred). Proven experience in data analysis, data engineering, or data science roles, with a focus on Google BigQuery and Generative AI. Proficiency in SQL and experience optimizing complex queries for large datasets. Strong knowledge of machine learning concepts, algorithms, and libraries. Experience with data visualization tools such as Data Studio, Looker, or Tableau. Excellent problem-solving and analytical skills with a keen attention to detail. Strong communication and collaboration abilities to work effectively with cross-functional teams. Google Cloud Platform (GCP) certification is a plus · SAP Datasphere experience preferred If you are a strategic thinker with a passion for leveraging technology and data to drive business success, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data-driven decision-making in our organization. Originally posted on Himalayas
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FAQ
Is the Data Analyst – Google BigQuery and Generative AI Specialist role at Nimbus Data Systems remote?+
This Data Analyst – Google BigQuery and Generative AI Specialist position is listed as remote (United States).
What is the salary for the Data Analyst – Google BigQuery and Generative AI Specialist role at Nimbus Data Systems?+
The listing states Estimated 78k-210k USD.
What seniority level is this Data Analyst – Google BigQuery and Generative AI Specialist role?+
This is a mid level position.
How do I apply for the Data Analyst – Google BigQuery and Generative AI Specialist role at Nimbus Data Systems?+
Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Nimbus Data Systems.