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Remote Data Analyst Food Industry Jobs in Riverside, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Staying current with industry trends, best practices, and new technologies helps one to make sure ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

... are industry's most trusted solutions for healthcare intelligence. Our company purpose is to ... Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ...

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Stay ahead of industry trends, emerging technologies, and best practices in data science and AI

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You can work remote from home and would be expected to come on-site at office per the schedule ... The EHR Analyst evaluates system performance, implements enhancements, manages data reporting, and ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both ...

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Showing results 1-20

Remote Data Analyst Food Industry information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Sep 1, 2026, the average yearly pay for remote data analyst food industry in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst in the food industry do?

A Remote Data Analyst in the food industry collects, processes, and analyzes data related to food production, sales, supply chains, and consumer trends while working from a remote location. They use statistical tools and software to interpret data and provide insights that help companies make informed decisions about product development, marketing, and operations. Their work often supports efforts to improve efficiency, ensure food safety, and understand market demands.

What are the key skills and qualifications needed to thrive as a remote data analyst in the food industry?

To excel as a Remote Data Analyst in the Food Industry, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and industry-specific ERP systems is often required. Exceptional attention to detail, problem-solving abilities, and clear communication are crucial soft skills for interpreting data and collaborating remotely with cross-functional teams. These competencies ensure accurate insights, drive data-informed decisions, and support business growth in a competitive and evolving market.

How do remote data analysts in the food industry typically collaborate with cross-functional teams, and what tools are most commonly used?

Remote data analysts in the food industry often work closely with product development, marketing, and supply chain teams to analyze trends, optimize inventory, and support decision-making. Collaboration is usually facilitated through regular virtual meetings and shared dashboards. Common tools include cloud-based data platforms like Tableau or Power BI for visualization, SQL databases for data extraction, and communication apps such as Slack or Microsoft Teams. Being proactive in communicating insights and staying aligned with team goals is key for remote analysts to add value and stay connected.

What is the difference between Remote Data Analyst Food Industry vs Remote Food Quality Analyst?

AspectRemote Data Analyst Food IndustryRemote Food Quality Analyst
CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Food Science, Microbiology, or related field
Work EnvironmentRemote, data-focused tasks, analytics softwareRemote or on-site, quality testing, inspections
Employer & Industry UsageFood companies, suppliers, retailersFood manufacturing, quality assurance firms
Common Search & ComparisonYesNo

The Remote Data Analyst Food Industry primarily focuses on analyzing data related to food production, sales, and consumer trends using statistical tools. In contrast, the Remote Food Quality Analyst concentrates on ensuring food safety and quality through inspections and testing. Both roles are essential in the food industry but differ in their core responsibilities and skill sets.

What are popular job titles related to Remote Data Analyst Food Industry jobs in Riverside, CA?

For Remote Data Analyst Food Industry jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Food Industry jobs in Riverside, CA look for?

The top searched job categories for Remote Data Analyst Food Industry jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Data Analyst Food Industry jobs?

Cities near Riverside, CA with the most Remote Data Analyst Food Industry job openings:

Infographic showing various Remote Data Analyst Food Industry job openings in Riverside, CA as of August 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Data Analyst

Riverside, CA • Remote

Infinity Marketing
Marketing • 51 - 200 employees

Full-time

Re-posted 21 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.