Data Analyst – Operations
CAVA - Support Center
About the role
About CAVA
At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big together.
Core Values
- Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.
- Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.
- Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt.
- Passion for Positivity: We greet each day with warmth and possibility.
- Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.
Position
Data Analyst – Operations (Restaurant & Catering)
The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting requirements while supporting short‑term ad‑hoc needs. This role partners closely with Data Product Managers to ensure data accuracy, usability, and alignment with enterprise standards.
Data Analysts play a critical role in transforming raw data into actionable insights, enabling business teams to make informed decisions and optimize performance.
- This role is part of the Data Product Team supporting our Restaurant & Catering Operation*
Success at CAVA
At CAVA, Individual Contributors focus on delivering high‑quality work, owning tasks, and contributing to team success. We look for team members who take initiative, collaborate across teams, and stay curious about how their work supports broader goals.
What You’ll Do
Analytics & Reporting
- Query, clean, and transform datasets to support reporting and analysis.
- Validate data accuracy for new metrics, dashboards, and analytical assets.
- Support ad‑hoc analytics requests and long‑term strategic reporting needs.
Visualization & UX
- Create interactive dashboards and reports aligned with business needs and UX best practices.
- Ensure consistency in branding using enterprise visualization templates.
- Optimize dashboards for scalability, usability, and performance.
Collaboration & Governance
- Work closely with Data Product Managers as domain SMEs to understand requirements.
- Partner with Data Engineers to align on logic and data source integration.
- Define and implement data quality checks to ensure compliance with governance standards.
- Collaborate with product owners to iterate designs and improve user experience.
Qualifications
Required
- 2–5 years of experience in data analysis or business intelligence.
- Proficiency in SQL (or python) and experience with data querying and transformation.
- Strong skills in data visualization tools (Tableau, Power BI, Looker).
- Ability to work with structured and semi‑structured data.
- Excellent attention to detail and problem‑solving skills.
Preferred
- Experience with Python or R for data manipulation and analysis.
- Familiarity with cloud‑based data platforms (Snowflake, Databricks).
- Understanding of data governance and quality assurance practices.
Physical Requirements
- Ability to maintain stationary position to be able to operate a computer and other office equipment
- Must be able to identify, analyze and assess details
- For certain positions, must be able to occasionally move or transport items up to 50 pounds
- Ability to communicate with others and exchange information accurately and effectively
- Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable
- Ability to work in a constant state of alertness and in a safe manner
What We Offer
Competitive salary, plus bonus and long‑term incentives*
Early Wage Access!
Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community
Health, Dental, Vision, Telemedicine, Pet Insurance plus more!
401k enrollment with CAVA contribution
Company‑paid STD, LTD, Life and AD&D coverage for salaried positions*
Free CAVA food
Casual work environment
The opportunity to be on the ground floor of a rapidly growing brand
All exempt and non‑exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired.
Please note that visa sponsorship is not available.
The posting range is an all cash range.
Indicates qualifying eligible positions only
Equal Opportunity Statement
CAVA – Joining “A culture, not a concept”
As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.
California Applicants
California applicants: Please visit our Notice at Collection and Privacy Policy to learn about our information practices in the job application and employment context.
Requirements
- Proficiency in SQL (or python) and experience with data querying and transformation.
- Strong skills in data visualization tools (Tableau, Power BI, Looker).
- Ability to work with structured and semi-structured data.
- Excellent attention to detail and problem-solving skills.
Responsibilities
- Query, clean, and transform datasets to support reporting and analysis.
- Validate data accuracy for new metrics, dashboards, and analytical assets.
- Support ad-hoc analytics requests and long-term strategic reporting needs.
- Create interactive dashboards and reports aligned with business needs and UX best practices.
- Ensure consistency in branding using enterprise visualization templates.
- Optimize dashboards for scalability, usability, and performance.
- Work closely with Data Product Managers as domain SMEs to understand requirements.
- Partner with Data Engineers to align on logic and data source integration.
- Define and implement data quality checks to ensure compliance with governance standards.
- Collaborate with product owners to iterate designs and improve user experience.
Benefits
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free