Job Description
We are looking for a Data Analyst to support the Zero Waste program· for a large hyperscaler. They will be responsible for entering waste data from multiple internal and external sources with a high degree of accuracy
· Perform data assurance/data quality (QA/QC) processes on CE battery waste records submitted by technicians
· Support reviews of waste prevention data workbooks, documentation, and calculations to improve data accuracy
· Review and monitor our PowerBI dashboard to identify anomalies, trends, and potential data issues
· Collect, verify, and record RMA weight data in alignment with established procedures
· Document discrepancies, flag issues for follow-up, and maintain clear records of corrections and investigations
· Support ongoing improvements to data workflows, documentation, and quality-control processes
· Support ad-hoc data requests from the Zero Waste team
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
· Exceptional attention to detail and commitment to accuracy in data-related tasks
· Strong numerical aptitude and enjoys working with quantitative information
· Highly reliable in performing repetitive or routine data entry and data management processes without loss of focus or quality
· Curiosity and willingness to investigate anomalies, inconsistencies, or data quality issues
· Comfortable following established protocols while also identifying opportunities to improve data workflows
· Strong sense of ownership over data integrity and QA/QC tasks
Must be in PST/ MST/ CST time zone - majority of team will be in PST Interest in sustainability is a plus
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