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Restaurant Data Analytics Companies Jobs (NOW HIRING)

Halo Group

Data Analytics Architect

Deerfield, IL

We place technology experts within the teams of the world's leading companies and help clients ... Work under the direction of the Manager of Data Analytics to assure corporate architecture ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

Companies spend more than $600 billion each year on client entertainment. TicketManager is the ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 ... The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated ...

Highspring

Manager, Data & Analytics

Mclean, VA

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 ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

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 ...

24 Hour Home Care

Data Analytics Engineer

El Segundo, CA · On-site

$122K - $146K/yr

The Data Analytics Engineer is responsible for designing, developing, and maintaining enterprise ... One of the largest, most trusted in-home care companies in the nation. Founded in 2008, the company ...

New

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

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 ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the ... analytics, measurement, and optimization programs. * Experience developing complex data strategies ...

Loopback Analytics

Data Analyst

Dallas, TX · Remote

Analytics platform enhancements and toolset evaluations * Troubleshooting and audit trail ... Loopback has been recognized on the Inc. 5000 list of Americas fastest-growing private companies ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the ... analytics, measurement, and optimization programs. * Experience developing complex data strategies ...

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

The resulting network enables biopharma companies to design better research, launch new drugs more ... About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that ...

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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 Jul 5, 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.

More about Restaurant Data Analytics Companies jobs
What cities are hiring for Restaurant Data Analytics Companies jobs? Cities with the most Restaurant Data Analytics Companies job openings:
What states have the most Restaurant Data Analytics Companies jobs? States with the most job openings for Restaurant Data Analytics Companies jobs include:
What job categories do people searching Restaurant Data Analytics Companies jobs look for? The top searched job categories for Restaurant Data Analytics Companies jobs are:
Restaurant Data Analytics Companies jobs near you
Infographic showing various Restaurant Data Analytics Companies job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics Architect

Data Analytics Architect

Halo Group

Deerfield, IL

Full-time

Posted 11 days ago

Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
Participant on team responsible for corporate Big Data platform and Data Engineering solution
Employ a variety of languages and tools to integrate and automate systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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