Data Analyst - Standard_USA_USD

Data experts apply their analytical skills and knowledge to enhance AI’’s understanding of real-world professional tasks and language. This role involves contributing to an AI rese…

• 5 days ago

Qualifications Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. Human Resources Experience 3-5 years experience in Data Analytics, Business Intelligence or Web Analytics Experience in data visualization platforms (Tableau, PowerBI) Familiarity with data governance concepts Advanced skill level using Excel Equally capable working as part of a team or independently Proficient with SQL and Python or other data manipulation languages Responsibilities - Build, maintain, and improve dashboards, reports, and analytics tools that support day-to-day decision-making across HR and the business. - Analyze workforce trends, including attrition, offboarding survey results, talent acquisition metrics, compensation, benefits, learning, talent development, and other people-related initiatives. - Translate business questions into clear analyses, insights, presentations, and recommendations for HR leaders and cross-functional stakeholders.

• Support recurring reporting, ad hoc data requests, audits, and data quality reviews to ensure accurate, consistent, and reliable people data. - Partner with stakeholders across Talent Acquisition, Compensation, Benefits, Learning, Talent Development, HR Operations, and broader business teams to understand reporting and analytics needs. - Develop both short-term solutions to address immediate business needs and scalable long-term solutions that improve reporting processes, automation, and self-service analytics. - Create presentations and materials that clearly communicate findings, trends, risks, and opportunities to both technical and non-technical audiences. - Assist with people analytics initiatives from requirements gathering through analysis, execution, and delivery. - Identify opportunities to streamline manual processes, improve data governance, and enhance the overall employee data and reporting experience. - Maintain a strong focus on confidentiality, accuracy, and