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Data Analyst Food Industry Jobs (NOW HIRING)

The group provides Investment strategy, fund performance, and industry research through a differentiated, framework-driven approach. In addition, the group provides custom research and data analysis ...

The combination of a rapidly evolving industry and our high ambitions means there's going to be ... PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ...

Description The Analytical Data Services (ADS) division of Verisk's ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country's largest ...

... food and other organic waste, compost sales, waste collection, transfer and landfill operations ... Recology is the largest employee-owned company in the industry, where success largely stems from ...

Provide monthly key performance indicator (KPI) data and other monthly or quarterly reports. • ... food industry. • Experience supervising regular full-time paid staff, including effective ...

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Data Analyst Food Industry information

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$34K

$82.6K

$136K

How much do data analyst food industry jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analyst food industry in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst Food Industry position, and why are they important?

To thrive as a Data Analyst in the Food Industry, you need strong analytical skills, proficiency in statistics, and a background in fields like data science, mathematics, or food science. Familiarity with tools such as SQL, Excel, Tableau, and data mining software, along with certifications like Microsoft Certified Data Analyst or Tableau Desktop Specialist, is highly valuable. Strong communication, attention to detail, and problem-solving abilities help you work cross-functionally and translate data insights into actionable business recommendations. These combined skills are crucial for driving data-driven decisions that improve product quality, streamline operations, and enhance customer satisfaction in the competitive food industry.

What are the typical daily responsibilities of a Data Analyst in the food industry?

As a Data Analyst in the food industry, your daily responsibilities include collecting, cleaning, and analyzing large sets of production, sales, and supply chain data. You'll frequently create dashboards and reports for management, identify trends that impact product quality or demand, and develop recommendations to improve efficiency and profitability. Collaboration with departments such as quality assurance, marketing, and operations is common, and you'll often participate in cross-functional meetings to discuss data-driven strategies. This dynamic role offers a blend of independent analytical work and teamwork, making it ideal for those who enjoy both detailed analysis and collaborative problem-solving.

What does a Data Analyst in the Food Industry do?

A Data Analyst in the Food Industry collects, processes, and interprets data to help food companies optimize operations, improve product quality, and enhance customer experience. They analyze sales trends, supply chain efficiency, consumer preferences, and food safety metrics. By using data visualization and statistical methods, they provide insights to support decision-making. Their work helps businesses reduce waste, improve efficiency, and increase profitability.

More about Data Analyst Food Industry jobs
What cities are hiring for Data Analyst Food Industry jobs? Cities with the most Data Analyst Food Industry job openings:
What are the most commonly searched types of Data Analyst Food Industry jobs? The most popular types of Data Analyst Food Industry jobs are:
What states have the most Data Analyst Food Industry jobs? States with the most job openings for Data Analyst Food Industry jobs include:
Infographic showing various Data Analyst Food Industry job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 6% Temporary, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Entry-Level Pricing Analyst - Food industry

SkillsetGroup

Gardena, CA • On-site

$28 - $32/hr

Full-time

Re-posted 29 days ago


Job description

SkillsetGroup is seeking an Entry-Level Pricing Analyst to work in the city of Gardena, CA area. The Entry-Level Pricing Analyst is responsible for supporting pricing decisions by analyzing data, maintaining pricing records, conducting market research, and assisting with customer quotations. This role works closely with the sales, procurement, and finance teams to help monitor costs, update pricing models, and provide data-driven insights that support profitability and competitive pricing strategies. This is an excellent opportunity for a recent graduate or someone with 2+ years of analytical experience looking to grow their career in pricing and finance. This is a 1st shift position and DIRECT HIRE OPPORTUNITY. Please send your resume to rmills@skillsetgroup.com.
Job Title: Pricing Analyst
DIRECT HIRE OPPORTUNITY!
Pay Range: $28 - 32/hr. DOE
Shift: 1st shift; M-F, 8:00 am - 5:00 pm
Requirements:
  • 2+ years of experience in pricing analysis, financial analysis, or data analytics
  • Bachelor's degree in Finance, Economics, Business, or related field a MUST
  • Analyze costs, margins, and pricing structures to support business goals
  • Conduct market research and competitive analysis to guide pricing decisions
  • Build and maintain pricing models, reports, and dashboards using Excel or similar tools
  • Monitor raw material costs and market trends to adjust pricing as needed
  • Partner with sales, procurement, and finance teams to align pricing strategies
  • Provide data-driven insights to improve profitability and competitiveness
  • Maintain accurate pricing data and support customer-specific quotes
  • Strong analytical, problem-solving, and organizational skills with attention to detail
  • Ability to interpret data and communicate clear recommendations
  • Bilingual is STRONGLY preferred