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Restaurant Data Analytics Jobs in Chicago, IL (NOW HIRING)

About SpotOn We're not just building restaurant tech, we're giving independent restaurants the ... The Director of Financial Data & Analytics will be a strategic leader driving the company's data ...

The building is home to a variety of amenities, including restaurants,afitness center, and ... This role is pivotal in advancing our data and analytics capabilities, ensuring the seamless ...

The building is home to a variety of amenities, including restaurants, a fitness center, and ... This role is pivotal in advancing our data and analytics capabilities, ensuring the seamless ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

... restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors ... As a member of the Data and Analytics team, you will build innovative and scalable data products ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

... restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors ... As a member of the Data and Analytics team, you will build innovative and scalable data products ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

... restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors ... As a member of the Data and Analytics team, you will build innovative and scalable data products ...

IT Data Engineer

Lake Forest, IL · On-site

$113.40K - $136.10K/yr

... restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors ... As a member of the Data and Analytics team, you will build innovative and scalable data products ...

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Restaurant Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do restaurant data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for restaurant data analytics in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

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 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 cities near Chicago, IL are hiring for Restaurant Data Analytics jobs? Cities near Chicago, IL with the most Restaurant Data Analytics job openings:
Infographic showing various Restaurant Data Analytics job openings in Chicago, IL as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $117,306 per year, or $56.4 per hour.
Director, Financial Data & Analytics

Director, Financial Data & Analytics

SpotOn

Chicago, IL • Remote

$170K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


SpotOn rating

6.1

Company rating: 6.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

167th of 184 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 (Fall 2025), 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.

Compensation Range: $170K - $225K


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