Comerit Logo

Comerit

Data Analyst – Google BigQuery and Generative AI Specialist

Reposted 16 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Data Analyst will analyze data using Google BigQuery and Generative AI, optimize queries, create visualizations, and ensure data quality for strategic decisions.
The summary above was generated by AI

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.

· 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.



Similar Jobs

12 Minutes Ago
Remote or Hybrid
US
156K-241K Annually
Expert/Leader
156K-241K Annually
Expert/Leader
Information Technology
Lead design and implementation of scalable Databricks Lakehouse solutions using Delta Lake, Unity Catalog, and MLflow. Advise stakeholders, drive cloud data platform modernization across Azure/AWS/GCP, ensure data governance and quality, optimize performance and cost, and mentor teams. Support presales, deliver billable consulting, and champion AI/ML-enabled data solutions to translate platform capabilities into business outcomes.
Top Skills: AWSAzureBatch StreamingData CatalogingData GovernanceData LineageDatabricksDelta LakeEltETLGCPMaster Data ManagementMlflowPysparkPythonRbacScalaSQLUnity Catalog
12 Minutes Ago
Remote or Hybrid
CO, USA
100K-137K Annually
Senior level
100K-137K Annually
Senior level
Information Technology
Sell ServiceNow consulting, implementation, managed services, and platform modernization solutions. Drive full sales lifecycle: account planning, opportunity qualification, relationship building, partnering with delivery and ServiceNow stakeholders, forecasting, and closing. Grow market presence, mentor junior sellers, represent CDW at events, and support GenAI-enabled transformation initiatives across ServiceNow workflows (ITSM, ITOM, ITAM, CSM, HRSD, SecOps).
Top Skills: Cloud PlatformsCsmGenaiHrsdItamItomItsmSaaSSecopsServicenowSpm
29 Minutes Ago
Remote or Hybrid
USA
Senior level
Senior level
Fintech • Healthtech • HR Tech • Information Technology • Financial Services • Telehealth
Manage and execute regional field marketing programs for Life Insurance Distribution, including conferences, roadshows, sponsorships, vendor coordination, event logistics, sales enablement assets, budget tracking, and cross-functional stakeholder collaboration to drive partner engagement and business growth. Heavy travel and on-site representation required.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account