Data Analyst (AI-LLM)

As a Data Analyst (AI-LLM) at RingCentral, you will be responsible for analyzing and interpreting data to provide valuable insights and recommendations to support business decision-making. Your expertise in AI and machine learning will be crucial in developing and implementing data-driven solutions that enhance products and services. Here is a breakdown of your key responsibilities: - Analyze and interpret data to provide valuable insights and recommendations. - Develop and implement data-driven solutions using AI and machine learning techniques. - Collaborate with cross-functional teams to identify and prioritize business needs. - Conduct thorough research to stay updated on advancements in AI and LLM. - Create and maintain data models and algorithms for optimized processing. - Utilize statistical methods to analyze and validate data accuracy. - Communicate complex data findings in a clear manner to stakeholders. - Identify and troubleshoot data issues to improve quality and integrity. - Collaborate with data engineers to optimize data processing pipelines. - Stay updated on industry trends related to AI and LLM. - Provide training and support on AI and LLM techniques to team members. - Evaluate and improve data processes and systems continuously. - Adhere to data privacy and security policies while handling sensitive data. - Act as a subject matter expert in AI and LLM and provide guidance to team members. RingCentral is an Equal Opportunity Employer, committed to creating an inclusive environment for all employees. They celebrate diversity and do not discriminate based on various legally protected characteristics. As a Data Analyst (AI-LLM) at RingCentral, you will be responsible for analyzing and interpreting data to provide valuable insights and recommendations to support business decision-making. Your expertise in AI and machine learning will be crucial in developing and implementing data-driven solutions that enhance products and services. Here is a breakdown of your key responsibilities: - Analyze and interpret data to provide valuable insights and recommendations. - Develop and implement data-driven solutions using AI and machine learning techniques. - Collaborate with cross-functional teams to identify and prioritize business needs. - Conduct thorough research to stay updated on advancements in AI and LLM. - Create and maintain data models and algorithms for optimized processing. - Utilize statistical methods to analyze and validate data accuracy. - Communicate complex data findings in a clear manner to stakeholders. - Identify and troubleshoot data issues to improve quality and integrity. - Collaborate with data engineers to optimize data processing pipelines. - Stay updated on industry trends related to AI and LLM. - Provide training and support on AI and LLM techniques to team members. - Evaluate and improve data processes and systems continuously. - Adhere to data privacy and security policies while handling sensitive data. - Act as a subject matter expert in AI and LLM and provide guidance to team members. RingCentral is an Equal Opportunity Employer, committed to creating an inclusive environment for all employees. They celebrate diversity and do not discriminate based on various legally protected characteristics.