Operations Data Analyst

Etched Agency - Cupertino, CA

Full-time

Cupertino, CA

Fabricated Metal Product Manufacturing

About the position

The People / Recruiting Operations Data Analyst will play a vital role in driving data-driven decisions within the organization. This position focuses on leveraging analytical skills to uncover insights, optimize processes, and enhance employee experiences through effective data analysis and reporting.

Responsibilities

• Gather and integrate data from various sources, including HRIS systems, ATS, and other relevant databases.
• Ensure data accuracy, consistency, and completeness through data cleaning and validation processes.
• Conduct in-depth data analysis to identify trends, patterns, and anomalies.
• Utilize statistical analysis and data visualization techniques to present findings in a clear and actionable manner.
• Create and maintain interactive dashboards to provide real-time insights into recruiting and workforce data.
• Collaborate with business stakeholders to understand their reporting needs and tailor reports accordingly.
• Identify opportunities to improve people operations processes through data-driven insights.
• Work with cross-functional teams to implement data-driven solutions and streamline workflows.
• Develop predictive models to forecast workforce trends, identify potential risks, and anticipate future needs.
• Utilize advanced analytics techniques, such as machine learning and AI, to gain deeper insights.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Behavioral Science or a related field.
• Strong proficiency in data analysis tools (e.g., SQL, Python, R, Excel).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team.

Nice-to-haves

• Experience in people analytics or HR analytics.
• Experience with HRIS systems (e.g., Workday, Oracle HCM, SAP SuccessFactors).
• Knowledge of statistical modeling techniques.
• Experience with machine learning and AI.