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Restaurant Data Analytics Jobs in California (NOW HIRING)

Spice Data

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Spice Data provides enterprise restaurant data feeds and B2B data infrastructure for market research and analytics. Founded in , the company is headquartered in San Francisco, USA, with a team of 0-1 ...

Yum

Manager, Digital Applied Analytics

Irvine, CA · On-site

From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ... About the Job: This role leads the Digital Customer Data & Analytics team, reporting to the ...

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

... grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use ... Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal ...

Mill

Data Engineer - Data Platform

San Bruno, CA

$185K - $210K/yr

... grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use ... Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal ...

Namely

Senior Data Analyst

South San Francisco, CA · On-site

$140 - $180/hr

... retailers, restaurants and global businesses who rely on us to save lives, reduce emissions ... As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ...

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Restaurant Data Analytics information

What is restaurant data analytics?

Restaurant data analytics refers to the process of collecting, analyzing, and interpreting data generated by restaurant operations to make informed business decisions. This can include data from point-of-sale systems, inventory, customer feedback, and sales trends. By leveraging analytics, restaurants can optimize menu offerings, improve customer service, reduce waste, and increase profitability. Data analytics plays a crucial role in understanding customer behavior and enhancing overall restaurant performance.

What are the key skills and qualifications needed to thrive in restaurant data analytics, and why are they important?

To thrive in Restaurant Data Analytics, you need strong analytical skills, a background in statistics or business, and experience with data analysis, often supported by a relevant degree. Proficiency with tools such as Excel, SQL, Tableau, and restaurant POS analytics platforms is typically required. Excellent problem-solving, communication, and attention to detail help analysts translate complex data into actionable insights for restaurant management. These skills are crucial for optimizing operations, driving profitability, and informing strategic decisions in a competitive hospitality environment.

What are the main challenges faced by professionals in restaurant data analytics, and how can they be addressed?

Professionals in Restaurant Data Analytics often face challenges such as integrating data from multiple sources (POS systems, reservations, customer feedback), ensuring data accuracy, and communicating actionable insights to non-technical team members. Addressing these challenges typically involves building robust data pipelines, collaborating closely with IT and restaurant managers, and developing clear visualizations or dashboards that translate complex data into practical recommendations. Continuous learning and staying updated with the latest analytics tools also help professionals remain effective in this dynamic environment.

What are popular job titles related to Restaurant Data Analytics jobs in California?

For Restaurant Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Restaurant Data Analytics jobs in California look for?

The top searched job categories for Restaurant Data Analytics jobs in California are:

What cities in California are hiring for Restaurant Data Analytics jobs?

Cities in California with the most Restaurant Data Analytics job openings:

Restaurant Data Analytics jobs near you
Infographic showing various Restaurant Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director, Financial Data & Analytics

SpotOn: Sales

San Francisco, CA • On-site

$170K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

SpotOn rating

5.2

Company rating: 5.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

234th of 246 rated software companies

Job description

About SpotOn
We're not just building restaurant tech, we're giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed.
  • Named the #1 Restaurant POS by G2 (Summer 2026), based on ratings from real users
  • Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users
  • Awarded Great Places to Work and Built In's Best Workplaces for multiple years running

We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you're looking to make an impact with heart and hustle, SpotOn is the place for you.
The Director of Financial Data & Analytics will be a strategic leader driving the company's data and reporting capabilities. This role owns the end-to-end financial and operational data ecosystem, turning complex information into actionable insights, guiding decision-making at the executive level, and leading a high-performing analytics team.
Your Mission:
Data Strategist & Leader: Own the enterprise data ecosystem, from pipelines to executive dashboards, ensuring accurate, scalable, and actionable insights that drive strategic decisions and business growth.
Insight Partner: Translate complex financial and operational data into clear recommendations that influence leadership and cross-functional priorities.
Team Builder & Mentor: Lead, develop, and inspire a high-performing team of analysts and managers, fostering a culture of ownership, accountability, and continuous improvement.
Operational Excellence Driver: Ensure the integrity of key metrics, automate processes where possible, and scale systems for accuracy and efficiency.
What You'll Do:
  • Own the core data infrastructure: Lead data pipelines into Snowflake and Power BI, maintaining accuracy, consistency, and enterprise-level scalability.
  • Drive strategic analytics & insights: Apply predictive modeling and statistical analysis to inform executive decision-making and identify growth opportunities.
  • Lead operational & financial metrics: Oversee reporting on KPIs like churn, signed accounts, and performance metrics; partner with underwriting and finance on deal evaluation.
  • Build scalable systems & automation: Design future-proof data models, automate manual processes, and maintain data integrity.
  • Lead a high-performing team: Manage 6+ direct reports across Data Analysts and Managers of Data & Analytics; set priorities, mentor talent, and elevate team capabilities.
  • Cross-functional partnership: Collaborate with Sales, Finance, Operations, and Product teams to align on metrics, reporting, and business decisions.
What You'll Bring:
  • 10+ years of experience in financial data and analytics or related fields
  • Proven experience managing teams of analysts and managers, and working with enterprise-scale datasets
  • Advanced SQL skills and strong experience with BI tools, particularly Power BI
  • Experience with data warehousing platforms (e.g., Snowflake) and familiarity with programming languages such as Python or R
  • Knowledge of AI/ML concepts applied to analytics and automation
  • Expertise in predictive modeling, statistical analysis, and identifying key drivers of performance and operational efficiency
  • Strong communication skills to translate complex data into clear, actionable insights
  • Comfort operating in fast-paced, ambiguous environments with a bias toward action

Bonus points: Experience with Salesforce, attribution modeling or SaaS.
Benefits:
At SpotOn, we put people above everything else. We're known for our innovative software and technology solutions, but we stand out because of the hard-working humans behind the tech. We can't take care of our clients without taking care of our employees first, and that's why we invest in you with a competitive benefits package which includes:
  • Medical, Dental and Vision Insurance
  • 401k with company match
  • RSUs
  • Paid vacation, company holidays, sick time, and volunteer time off
  • Employee Resource Groups to build community and inclusion at work
  • Monthly cell phone and internet stipend
  • Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development

We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com). If something seems suspicious, please contact us at careers@spoton.com.
SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
Work authorization in the U.S. is required. Visa sponsorship is not available for this role.
SpotOn is an E-Verify company.

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