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Restaurant Data Analytics Jobs (NOW HIRING)

Parallel dazu unterstützt du im gesamten Data & Analytics Lifecycle Prozess . Dein Profil: Du ... Mit Restaurant , Bistro , Cafeteria und kostenlosen Getränken bist du bestens versorgt. Und an ...

Experience in restaurant, retail, hospitality, or multi-unit operations environments * Exposure to ... data quality tools * Background supporting finance, operations, or customer analytics use cases ...

Experience in restaurant, retail, hospitality, or multi-unit operations environments * Exposure to ... data quality tools * Background supporting finance, operations, or customer analytics use cases ...

Experience in restaurant, retail, hospitality, or multi-unit operations environments * Exposure to ... data quality tools * Background supporting finance, operations, or customer analytics use cases ...

Experience in restaurant, retail, hospitality, or multi-unit operations environments * Exposure to ... data quality tools * Background supporting finance, operations, or customer analytics use cases ...

... restaurant, retail, hospitality, or multi-unit operations environments Exposure to cloud data ... or customer analytics use cases LEADERSHIP COMPETENCIES Strong business decision-making mindset ...

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

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Restaurant Data Analytics information

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$24

$54

$94

How much do restaurant data analytics jobs pay per hour?

As of Jul 21, 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.
More about Restaurant Data Analytics jobs
What cities are hiring for Restaurant Data Analytics jobs? Cities with the most Restaurant Data Analytics job openings:
What states have the most Restaurant Data Analytics jobs? States with the most job openings for Restaurant Data Analytics jobs include:
Infographic showing various Restaurant Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Lead Architect, Data & Analytics

Lead Architect, Data & Analytics

Portillo's

Oak Brook, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Portillo's rating

6.3

Company rating: 6.3 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

14th of 104 rated fast food restaurants


Job description

Job Description:
At Portillo's, we're building a modern data platform that transforms information into actionable insights across our restaurants and Restaurant Support Center. As the Lead Architect for Data and Analytics, this position will design and
evolve our enterprise data environment on Microsoft Fabric, lead the integration of POS, labor, digital ordering, and finance systems, and enable teams across the organization to access the insights they need, when they need them.
This role will help shape how we responsibly adopt and scale AI capabilities, from forecasting and anomaly detection to conversational analytics with Copilot. Working closely with FP&A and partnering cross-functionally with Operations, Marketing, and Finance, this position will ensure the solutions we build reflect how the business operates and maximize our analytics capabilities.
The ideal candidate is a strategic and hands-on technical leader with deep expertise in modern data architecture, cloud analytics platforms, AI enablement, and enterprise integrations. This individual must possess strong business acumen, technical leadership capability, and the ability to translate operational and financial needs into scalable technology solutions.
This is a hybrid position based at the Portillo's Restaurant Support Center in Oakbrook, Illinois with on-site presence required Tuesday through Thursday.
CORE RESPONSIBILITIES:
Enable our Purpose to create lifelong memories by igniting the senses with unrivaled food and experiences:
Family: Work together to make everyone feel at home, and we step up when someone needs help
Greatness: We're obsessed with being the best and work hard to continuously improve. Our greatness is rooted in Quality, Service, Attitude and Cleanliness
Energy: We move with urgency and passion, while maintaining attention to detail
Fun: We entertain our guests, we connect authentically, and we make each other smile
Lead & Influence
• Set technical direction and standards for the data and analytics function, including architecture reviews and technical mentorship
• Work with business stakeholders to gather requirements and translate business questions into data models and analytical approaches
Data Platform & Architecture
• Design and implement a scalable lakehouse architecture on Microsoft Fabric
• Build and maintain pipelines that integrate POS systems, labor platforms (Harri and similar), digital ordering (Olo), and finance systems (Oracle Fusion)
• Optimize for performance, reliability, and cost
• Build AI-ready data infrastructure, including feature stores and semantic models
• Define SLAs, reliability standards, and disaster recovery architecture for the data environment, partnering with the operations team that handles day-to-day incident response Data Governance, Security, & Compliance
• Establish data ownership, stewardship, and quality standards
• Implement role-based access controls and partner with InfoSec on data security architecture
• Support SOX compliance for data and reporting in scope, and PCI-DSS compliance for cardholder data flowing through the platform
• Respond to internal and external audits, and maintain the documentation needed to support them
• Define an AI governance framework covering model validation, monitoring, responsible AI use, and data privacy (CCPA/CPRA alignment)
• Keep data consistent with FP&A reporting Analytics & AI Enablement
• Architect data structures that support trend analysis, root cause diagnostics, and predictive insights
• Enable self-service analytics and AI-assisted insights for business users
• Lead AI and ML use cases such as sales forecasting, labor optimization, demand prediction, and anomaly detection across cash, transactions, and inventory
• Build and integrate machine learning pipelines on Azure ML and Fabric ML • Develop LLM-based solutions using Azure OpenAI and prompt orchestration
• Support AI agents and automation workflows on Power Platform and Oracle AI Agents • Support Copilot and conversational analytics in Power BI and Fabric Reporting & Insights
• Deliver insights through Power BI dashboards, mobile reporting, and automated, event-driven reporting
• Support executive dashboards as well as field and restaurant dashboards • Enable natural language querying and AI-generated insights for everyday users Vendor, Tooling, & Cost
• Evaluate and select data and AI tools and lead associated vendor relationships
• Own the data platform budget, and forecast cloud consumption costs across Fabric, Azure, and AI services
• Run proofs of concept for emerging technologies before broader rollout Collaboration & Communication
• Organize and participate in cross-functional meetings to assess and improve our analytics applications over time
• Present updates on vendor performance, application health, feature enhancements, and innovation
• Partner with Finance, Operations, and Marketing as analytic frameworks are built and refined
• Maintain architecture documentation, data dictionaries, and decision records for major architectural choices
QUALIFICATIONS
Work Experience and Qualifications
• 5+ years of experience in data architecture, data engineering, or analytics platform development
• A track record of delivering AI/ML or advanced analytics solutions end to end
• Hands-on experience with Microsoft Fabric or Azure (Azure ML, Synapse, Data Factory) and Power BI
• Strong skills in Python and SQL
• Experience with LLM integrations (Azure OpenAI), prompt engineering, and orchestration
• Experience managing the full ML model lifecycle, including training, deployment, and monitoring
• Experience with feature engineering and data preparation for AI workloads
• Comfort working with business partners to translate operational and financial questions into technical solutions
Hot dog! The pay range for this role is $125,000.00 - $145,000.00 per yearly. Your actual compensation will depend on experience, location, and/or additional skills you bring to the table.
This position is also served with:
  • Participation in a discretionary bonus program based on company and individual performance, among other ingredients

  • A monthly technology reimbursement

  • Quarterly Portillo's gift cards

  • A bun-believable benefits package that includes medical, dental, and vision insurance along with paid time off, life insurance, and our 401(k) plan with a company match

  • Learn more about our benefits here

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by incumbents assigned to this job. This is not intended to be an exhaustive list of all the responsibilities, duties and skills required. The incumbent may be expected to perform other duties as assigned. This job may be reviewed as duties and responsibilities change with business necessity.

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