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Restaurant Data Analytics Jobs (NOW HIRING)

OddBytes LLC

Senior Data Analyst

$88K - $112K/yr

We have an amazing office in Huntington Beach, CA a block from the beach, shops, and restaurants ... Owns analytics for a product area or business domain * Shapes how success is measured and evaluated

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

MTY's family of 80+ restaurant brands include mainstays such as Cold Stone Creamery, Famous Dave's, and Papa Murphy's. We are seeking a highly analytical Data Quality Analyst to help ensure the ...

Jetro Restaurant Depot

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

JOB DETAILS Restaurant Depot is the leading wholesale distributor of food, equipment and supplies ... Demonstrated ability to take analytics/reporting/data science projects from start to finish ...

Jetro / Restaurant Depot

Data Analyst

Whitestone, NY

$75K - $90K/yr

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to ... Demonstrated ability to take analytics/reporting/data science projects from start to finish ...

CAVA

Data Analyst

Washington, DC

$85K - $95K/yr

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 ...

CAVA

Data Analyst

Washington, DC · On-site

$85K - $95K/yr

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 ...

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How much do restaurant data analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for restaurant data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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.
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Restaurant Data Analytics jobs near you
Infographic showing various Restaurant Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Data Analyst

OddBytes LLC

Remote

$88K - $112K/yr

Full-time

Re-posted 20 days ago

Job description

About OddBytes, LLC
Join the OddBytes Team!
Did we mention we're fully remote? We found that life is just better with a fully remote workforce and we operate in a remote work environment. We're most productive when our work life acts in harmony with the rest of our lifestyle, and our culture reflects that. US candidates only will be considered.
Perk for candidates: We have an amazing office in Huntington Beach, CA a block from the beach, shops, and restaurants. It's a cool place for employees to have meetings or important conversations and to keep up with coworkers more regularly. If you are in the SoCal area, it's a great option if you are looking for more of a hybrid schedule to make and keep human connections! And if you are not in the SoCal area, our office doors are always open, and we encourage you to take advantage of the office space for in-person training and periodic visits!
Role Purpose
The Senior Data Analyst is responsible for transforming data into clear insights that drive product, business, and operational decisions. The role bridges data, product, and business by asking the right questions, validating assumptions, and making complex information understandable and actionable.
Data Analysts work closely with Product, Engineering, Marketing, and Leadership to ensure decisions are informed by reliable data. This role also includes active and responsible use of AI tools to accelerate analysis, exploration, and communication of insights - while maintaining strong analytical judgment and data integrity.
Senior Data Analyst
Focus: Analytical leadership and decision influence
  • Owns analytics for a product area or business domain
  • Shapes how success is measured and evaluated
  • Guides stakeholders toward data-informed decisions
  • Mentors junior and mid-level analysts
  • Improves analytical practices, tooling, and data literacy
  • Uses AI strategically to deepen insights and reduce time-to-decision
  • Ability to independently manage analytical projects end-to-end
  • Define scope, timelines, and deliverables
  • Communicate progress and expectations to stakeholders
  • Balance multiple priorities and requests effectively

Typical experience: 5+ years of data analytics experience
Core Responsibilities
  • Analyze product, user, and business data to support decision-making
  • Define and track key metrics, KPIs, and success indicators
  • Build and maintain dashboards, reports, and self-service analytics
  • Partner with Product and Engineering to evaluate experiments and changes
  • Validate data quality and highlight inconsistencies or risks
  • Communicate insights clearly to technical and non-technical stakeholders
  • Use AI tools to speed up analysis, hypothesis exploration, and storytelling

Core Data Analytics Expertise
Data Analysis & Exploration
  • Exploratory data analysis (EDA)
  • Hypothesis-driven analysis
  • Identifying trends, patterns, and anomalies
  • Translating vague questions into analytical approaches

SQL & Data Access
  • Strong SQL skills for querying analytical databases
  • Joining, aggregating, and transforming data
  • Understanding data freshness, granularity, and limitations

Metrics & Measurement
  • Defining meaningful metrics and KPIs
  • Funnel, cohort, and retention analysis
  • Experiment and A/B test analysis
  • Understanding bias, noise, and statistical significance (practical level)
  • Event-based / product analytics (user behavior tracking, event design, feature usage analysis)
  • Revenue, LTV, and unit economics analysis (CAC, payback period, ROI)

Visualization & Communication
  • Building clear dashboards and reports
  • Data visualization best practices
  • Presenting insights in a clear, concise narrative
  • Adapting communication to different audiences

The pay range for this role is:
88,000 - 112,000 USD per year (Remote (United States))

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