Data Analyst – Google BigQuery and Generative AI Specialist
A Data Analyst specializing in Google BigQuery and Generative AI to extract, transform, and analyze data, creating visualizations and reports to drive strategic decisions.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
- 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
Nice to have
- Google Cloud Platform (GCP) certification
- SAP Datasphere experience
Full description
This is a remote position.
Comerit 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.