People Data Analyst

Job Title: People/Data Analyst

Location: Los Angeles, CA

 

"CSS will not support visa sponsorship for this role (including entry into the H-1B lottery now or in the future).

 

About Us:
At CloudKitchens, we are revolutionizing the food delivery industry by enabling kitchens to thrive in a new era of delivery-first business models. We provide a platform that offers end-to-end solutions, from real estate to technology, helping businesses scale and adapt to ever-changing customer demands. Join our fast-growing, mission-driven team to shape the future of food delivery.

 

Position Summary:
We are seeking a People Analyst to join our People Analytics team. The team’s mission is to deliver information at scale in order to drive actionable clarity towards enabling a Just Workplace. We believe that understanding our workforce and building a Just Workplace with systems that attract, motivate, develop, and retain talented individuals is key to our success. We're looking for passionate individuals who share this belief to join our team.

In this role, you'll use information design and data science techniques to explore workforce dynamics, collaborating across the broader People team and business leaders to support strategic decisions that attract, develop, and retain talent. Your work will help create a workplace where employees thrive.

The ideal candidate has a deep passion for learning, transforming data into actionable insights, and communicating clearly to delight our audiences. You will be responsible for the delivery of information, analysis, and insights to help make high impact people-related decisions across the company. Strong communication skills are essential as this role will interact with various senior stakeholders across the organization.

 

Responsibilities:

• Analytics Projects: Lead and contribute to people analytics projects that require quantitative methods, predictive modeling, and algorithm development
• Data Visualization: Create sophisticated visualizations and data products that help stakeholders make informed decisions
• Advanced Modeling: Develop and implement advanced statistical models and machine learning algorithms to predict and analyze workforce trends, uncovering root causes
• Qualitative Research: Combine quantitative findings with qualitative insights to provide a comprehensive view of organizational dynamics
• Automation & algorithm development: Design and build automation systems for analytical processes to streamline the delivery of insights
• Data Analysis: Examine complex data to find insights into organizational behavior and workforce trends
• Collaboration: Work with various teams to understand business needs and align insights with stakeholder expectations
• Workforce Systems: Assist in developing systems that enhance employee attraction, motivation, development, and retention
• Learning and Development: Keep up-to-date with trends and technologies in people analytics, data science, data journalism, and organizational behavior

 

Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, or a quantitatively-based social science field (e.g., Economics, Psychology). A graduate degree (Master's or Ph.D.) is preferred
• 1-3 years of relevant work experience in data analysis, business intelligence, or related fields; 3-5 years of total work experience is ideal
• Proficiency in statistical coding languages and tools (e.g., SQL, R, Python) and data visualization platforms (e.g., Tableau, Looker)
• Strong understanding of ETL processes, data pipeline development, and data integrity practices.
• Understanding of statistical methods and their application in business contexts
• Ability to present data insights to non-technical audiences in clear and accessible ways.
• Experience working with cross-functional teams and engaging with stakeholders
• Interest in organizational behavior; understanding what drives people and how to improve their work experience

Competencies:

• Technical Skills: Statistical coding (SQL, R, Python), data visualization, statistical analysis and knowledge of machine learning algorithms.
• Analytical Thinking: Ability to analyze data critically to find meaningful insights.
• Communication Skills: Strong written and verbal skills for conveying information effectively.
• Problem-Solving: An approach to overcoming challenges and designing effective solutions.
• Information Design: Understanding of principles that make complex data understandable.
• Interest in Organizational Behavior: Enthusiasm for exploring workplace dynamics.

 

Why Join Us?

• Impactful Work: Contribute to building systems that enhance the employee experience and support organizational goals.
• Collaborative Environment: Be part of a team that values curiosity, learning, and diverse perspectives.
• Professional Growth: Access development resources to advance your skills and career.
• Inclusive Culture: Work in a setting where your ideas are valued, and your contributions make a difference.

 

City Storage Systems (CSS) is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.