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Restaurant Menu Data Extraction Jobs (NOW HIRING)

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 ... Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL ...

CAVA

Lead Data Scientist

Washington, DC · On-site

$170K - $218K/yr

Perform data mining and statistical analysis to extract meaningful insights from large, complex ... menu evaluation, customer segmentation, next-best-action marketing, real estate assessment, etc.

Pizza Hut

Call Center Representative

Bartlett, TN · On-site

$14.25 - $17.75/hr

Respond to customer service requests for restaurant food orders by entering and verifying customer and menu data * Ability to achieve and maintain performance standards * A Customer Maniac who can ...

CAVA

Lead Data Scientist

Washington, DC

Perform data mining and statistical analysis to extract meaningful insights from large, complex ... menu evaluation, customer segmentation, next-best-action marketing, real estate assessment, etc.

Pizza Hut

Call Center Representative

Bartlett, TN · On-site

$14.25 - $17.75/hr

Respond to customer service requests for restaurant food orders by entering and verifying customer and menu data * Ability to achieve and maintain performance standards * A Customer Maniac who can ...

Culinary Lab

Reservationist

Los Angeles, CA · On-site

$18.25 - $24/hr

... menu updates, restaurant promotions, changes in procedures, etc.) Addressing miscellaneous admin and data-entry projects during downtime Supporting corporate team with administrative and office ...

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Restaurant Menu Data Extraction information

What are some common challenges faced when extracting restaurant menu data, and how can they be overcome?

One common challenge in restaurant menu data extraction is dealing with non-standardized formats from various sources, such as scanned PDFs, images, or unstructured web pages. This often requires the use of both automated tools and manual verification to ensure accuracy and consistency. Additionally, menu items and pricing may change frequently, so maintaining up-to-date data is crucial. Collaborating closely with team members, such as data engineers and quality assurance specialists, can help address these challenges efficiently and maintain high data quality.

What is the difference between Restaurant Menu Data Extraction vs Restaurant Data Entry?

AspectRestaurant Menu Data ExtractionRestaurant Data Entry
Primary FocusExtracting menu information from sources like websites or PDFsInputting and updating restaurant data into databases or systems
Skills RequiredData scraping, attention to detail, familiarity with extraction toolsData entry, accuracy, basic computer skills
Work EnvironmentRemote or office-based, often involves research and technical toolsOffice or on-site, administrative setting
Industry UsageUsed by market researchers, data providers, and digital marketing teamsUsed by restaurant management, POS system providers, and administrative staff

While Restaurant Menu Data Extraction focuses on retrieving menu information from various sources, Restaurant Data Entry involves manually inputting or updating restaurant details into systems. Both roles support restaurant operations but differ in technical complexity and primary tasks.

What is restaurant menu data extraction?

Restaurant menu data extraction is the process of collecting and digitizing information from restaurant menus, such as dish names, descriptions, prices, and categories. This data is often extracted from physical menus, PDFs, images, or websites using manual entry, OCR (optical character recognition), or specialized software. The structured data can then be used in applications like food delivery platforms, restaurant review sites, or nutrition tracking services. Accurate menu data extraction is essential for providing up-to-date and detailed information to customers and business partners.

What are the key skills and qualifications needed to thrive as a Restaurant Menu Data Extraction Specialist, and why are they important?

To excel as a Restaurant Menu Data Extraction Specialist, you need strong attention to detail, data entry proficiency, and familiarity with restaurant terminology, often supported by a background in data management or related fields. Experience with data extraction tools, OCR software, spreadsheets, and content management systems is highly valuable. Effective communication, problem-solving skills, and the ability to work independently set top performers apart. These skills ensure accurate, efficient extraction and structuring of menu data, which is critical for maintaining high-quality databases and supporting business operations.
Infographic showing various Restaurant Menu Data Extraction job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution.

Data Analyst

Jetro Restaurant Depot

Whitestone, NY • On-site

$75K - $90K/yr

Full-time

Posted 29 days ago

Job description

JOB DETAILS
Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.
We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.
Job Description
  1. 3 or more years' experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS' through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor's Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others

Candidates that do not demonstrate all of the above are still strongly encouraged to a
apply
  1. Applicants should submit a paragraph summarizing one of their data science projects - the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios

Apply