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People Analyst Lead

[Los Angeles, CA]

[City Storage Systems]

About Us: At City Storage Systems, we're building Infrastructure for Better Food. We help restaurateurs around the world succeed in online food delivery. Our goal is to make food more affordable, higher quality, and convenient for everyone. We're changing the game for restaurateurs, whether they’re entrepreneurs opening their first restaurant through your favorite global quick-service restaurant chains. We are seeking a highly skilled and experienced People Analyst Lead to join our team and drive our people analytics initiatives forward.

Position Summary: We are looking for a world class People Analyst Lead with a strong background in statistical analysis, information design, data product management and consulting to support our People team and the business leaders in making data-driven decisions. The ideal candidate has a deep passion for information design and communicating clearly, with a blend of deep technical expertise and consultative skills. They will be responsible for delivering information, analysis and insights at scale to those who need it to make high impact people-related decisions. Strong communication skills are a must as this role will engage with executives and senior stakeholders.

Responsibilities:

- Lead and execute people analytics projects from inception to completion with directional guidance

- Problem solve autonomously and work cross-functionally to understand business needs and translate into delivery of products and insights aligned with customer needs, wants, and expectations

- Design, create, and build systems to maintain people data products, data visualizations and insights to empower key stakeholders to solve critical business problems through their people

- Develop and implement ETL processes to ensure data accuracy and integrity

- Apply advanced statistical methods to uncover trends, patterns, and insights

- Apply qualitative methods to supplement quantitative insights in service of developing actionable clarity around insights

- Present recommendations to senior leadership to inform strategic decision-making

- Stay updated on the latest trends and technologies in people analytics and incorporate them into our practices

Qualifications:

- Bachelor's degree in quantitatively-based social science field (e.g., Economics, Psychology) or Statistics, Data Science, Computer Science, or a related field is required.

- A graduate degree (Master's or Ph.D.) in a relevant field is preferred

- 7-10+ years of relevant work experience in data analysis, business intelligence, or a related field

- 5-7+ years of domain experience in people analytics, HR analytics, or a related area

- Proficiency in statistical coding languages and tools (SQL, R, Python, Looker, Tableau, Gsheets).

- Proficiency with ETL processes and data management

- Deep expertise in data visualization tools and techniques, with a deep understanding of information design principles

- In-depth knowledge of statistical methods and their application in business contexts

- Excellent communication skills, with the ability to present complex data insights to non-technical audiences

- Proven ability to collaborate effectively with cross-functional teams and stakeholders

Competencies:

- Statistical Coding (e.g., SQL, R, Python, SAS)

- Extract, Transform, Load (ETL) Processes

- Data Visualization, Information Design, Statistical Methods,

- Consultative skills, Communication, Collaboration

Why Join Us?

- Competitive salary and benefits package

- Opportunity to make a significant impact on our people operations and overall business

- Collaborative and inclusive work environment

- Professional development opportunities to enhance your skills and career growth

How to Apply: Please submit your resume and a cover letter detailing your relevant experience and why you are a good fit for this role to evangelos.kokales@cloudkitchens.com.

**CSS is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**