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Restaurant Data Analytics Companies Jobs (NOW HIRING)

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible ... About the Position We are looking for a Data Analytics Engineer to build and scale the data models ...

... team focused on AI, Data & Analytics. We specialize in providing strategic insights and ... companies, and biotechnology firms. Key Responsibilities * Assist in gathering, cleaning, and ...

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$86K - $109K/yr

... companies transforming their industries, and mid-market firms that need help navigating the ... The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ...

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location ... Myriad of career opportunities As companies continue to invest in technology, CGI is at the center ...

Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and ... Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform ...

Join the MITRE Data Analytics team where you will provide software development, algorithm ... companies, and your private life stays private. By joining you are indicating that you have read ...

... companies to revolutionize markets and set new industry standards. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you ...

... companies to revolutionize markets and set new industry standards. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you ...

... companies to revolutionize markets and set new industry standards. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you ...

... companies to revolutionize markets and set new industry standards. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you ...

Big Data Analytics Developer

Saint Louis, MO

$51.50 - $66.75/hr

AG's primary objective is to help companies maximize their IT resources and meet the ever-changing ... Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ...

Manager, Data Analytics

Chicago, IL · On-site

$127K - $159K/yr

... in the world, with restaurants in over 100 countries that serve 70 million customers daily.We ... Department Overview The role Manager, Data Analytics bridges the gap between business stakeholders ...

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Restaurant Data Analytics Companies information

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How much do restaurant data analytics companies jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for restaurant data analytics companies 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 are the key skills and qualifications needed to thrive as a restaurant data analyst, and why are they important?

To thrive as a Restaurant Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in business or data science, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and restaurant-specific POS systems is typically required. Excellent communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for restaurant operations. These skills enable data-driven decision-making and drive efficiency and profitability in a competitive hospitality environment.

What are some common challenges faced by analysts working in restaurant data analytics companies?

Analysts in restaurant data analytics companies often face the challenge of integrating data from multiple sources, such as POS systems, reservation platforms, and customer feedback tools, which may use different formats and standards. They must also ensure data accuracy and consistency to provide actionable insights to clients. Additionally, analysts need to communicate their findings effectively to non-technical restaurant managers and staff, helping translate complex analytics into practical recommendations for improving operations and customer experience.

What are restaurant data analytics companies?

Restaurant data analytics companies are businesses that specialize in collecting, analyzing, and interpreting data for restaurants to help them make informed decisions. These companies use tools and technologies to process data on sales, inventory, customer behavior, and operational efficiency. By leveraging data analytics, restaurants can optimize their menus, improve customer experiences, reduce costs, and increase profitability. Typical services include real-time reporting, predictive analytics, and actionable insights tailored to the unique needs of the foodservice industry.

What is the difference between Restaurant Data Analytics Companies vs Restaurant Data Analysts?

AspectRestaurant Data Analytics CompaniesRestaurant Data Analysts
CredentialsTypically no specific certifications required; company may employ analysts with degrees in data science, statistics, or related fieldsOften hold degrees or certifications in data analysis, statistics, or related disciplines
Work EnvironmentOperate as organizations providing data solutions to multiple restaurants or chainsWork within restaurants or consulting firms analyzing data to improve operations
Employer & Industry UsageServe multiple clients in the restaurant industry, offering data-driven insights and toolsEmployed by restaurants or consulting firms to interpret data and support decision-making

In summary, Restaurant Data Analytics Companies are organizations that provide data analysis services to multiple restaurant clients, while Restaurant Data Analysts are professionals working within restaurants or firms to analyze data and optimize operations. The main difference lies in their roles: companies deliver solutions, analysts execute data analysis tasks.

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

Infographic showing various Restaurant Data Analytics Companies job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Engineer

Parafin, Inc

San Francisco, CA • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 hours ago


Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations. You'll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses.
Are you a curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
What You'll Be Doing:
  • Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
  • Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
  • Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
  • Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
  • Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
  • Monitor data quality, investigate discrepancies, and improve the reliability of our data.
  • Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.

What We're Searching For:
  • 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
  • Strong SQL skills.
  • Experience working with relational databases and data warehouses.
  • Experience with Python or another scripting language.
  • Familiarity with dbt or a desire to learn modern analytics engineering tools.
  • Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

We Prefer If You Have:
  • Knowledge of data modeling and analytics engineering best practices.
  • Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
  • Experience with Git and version control.
  • Familiarity with Airflow, Dagster, or other workflow orchestration tools.
  • Experience working with financial services, lending, payments, or product analytics data.
  • Experience in a startup or other fast-paced, high-growth environment.

What We Offer
  • Salary Range: $180k - $220k
  • Equity grant
  • Medical, dental & vision insurance
  • Unlimited PTO
  • Work from home flexibility
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.