Operations Data Analyst

People / Recruiting Operations Data Analyst Job Description

About the Role

As a People / Recruiting Operations Data Analyst, you will play a crucial role in driving data-driven decisions within our organization. You will leverage your analytical skills and expertise in data analysis to uncover insights, optimize processes, and enhance employee experiences.

Responsibilities:

• Data Collection and Integration:
  • 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.
• Data Analysis and Insights:
  • 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.
• Reporting and Dashboards:
  • 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.
• Process Optimization:
  • Identify opportunities to improve people operations processes through data-driven insights.
  • Work with cross-functional teams to implement data-driven solutions and streamline workflows.
• Predictive Analytics:
  • 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.

Qualifications:

• 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.

Preferred Qualifications:

• 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.

If you're passionate about data, have a keen eye for detail, and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.