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Retail Consumer Science Jobs in Arizona (NOW HIRING)

Net2Source (N2S)

Lead Data Engineering

Tempe, AZ · On-site

Bachelor's or master's degree in computer science, Engineering, or a related field Must-Have ... Retail, Consumer, or QSR domain experience * Experience working in Agile product delivery teams

New

Net2Source (N2S)

Technical Lead - Data Engineering

Tempe, AZ · On-site

$150K - $155K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a ... Experience with retail, consumer, or QSR domains. What We're Looking For We are looking for a hands ...

New

Oats Overnight Inc

Food Scientist

Phoenix, AZ

... consumer, and we're now scaling with all major nationwide retail and club partners. Our goal ... Bachelor of Science in Food Science, Chemistry, Nutrition, or a related field. * Hands-on ...

New

Oats Overnight

Food Scientist

Phoenix, AZ · On-site

... consumer, and we're now scaling with all major nationwide retail and club partners. Our goal ... Bachelor of Science in Food Science, Chemistry, Nutrition, or a related field. * Hands-on ...

New

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the ... Our data science and analytics team automates everything Carvana does from modeling consumer ...

Breakthru

Category Development Analyst

Phoenix, AZ · Remote

$60K - $75K/yr

... retail data (internal, customer POS, consumer panel, & syndicated) into actionable strategy and ... Bachelor's degree in data analysis, data science, business administration, economics, statistics ...

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Showing results 1-20

All JobsRetail Consumer Science JobsRetail Consumer Science Jobs in Arizona

Retail Consumer Science information

See Arizona salary details

$14.4K

$55.4K

$67.6K

How much do retail consumer science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for retail consumer science in Arizona is $55,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $54,500.00 per year, depending on experience, location, and employer.

What is a retail consumer science?

A Retail Consumer Science job focuses on understanding consumer behavior, market trends, and retail strategies to improve the shopping experience and drive sales. Professionals in this field analyze data, study purchasing patterns, and develop strategies to enhance customer engagement. They may work in roles related to merchandising, marketing, or consumer research. This job often involves collaborating with various departments to optimize product placement, pricing, and promotions. It requires analytical skills, knowledge of retail operations, and an understanding of how consumers interact with brands.

What are the typical day-to-day responsibilities for someone working in retail consumer science?

Professionals in Retail Consumer Science typically analyze shopper data, identify purchasing patterns, and collaborate with merchandising, marketing, or product teams to optimize strategies. You may conduct consumer surveys, interpret in-store or online retail analytics, and create reports that inform business decisions. Regular tasks also involve recommending changes to store layouts, product mixes, or marketing campaigns based on collected insights. Teamwork and frequent communication across multiple departments are often essential aspects of the job, making it both dynamic and highly collaborative.

What are the key skills and qualifications needed to thrive in retail consumer science, and why are they important?

To excel in Retail Consumer Science, you need a strong background in consumer behavior analysis, data interpretation, and market research, often supported by a relevant bachelor's or master's degree. Familiarity with statistical analysis software, retail analytics platforms, and data visualization tools is commonly required. Excellent communication, critical thinking, and collaboration skills help you translate insights into actionable retail strategies. These abilities are essential for driving sales, enhancing customer experience, and making informed, data-driven business decisions in a competitive retail environment.

What can you do with a retail consumer science degree?

A retail consumer science degree prepares individuals for roles such as market researcher, consumer insights analyst, or retail strategist. Graduates analyze consumer behavior, interpret data using tools like SPSS or Excel, and develop strategies to improve sales and customer experience in retail environments.

What are the most commonly searched types of Retail Consumer Science jobs in Arizona?

The most popular types of Retail Consumer Science jobs in Arizona are:

What are popular job titles related to Retail Consumer Science jobs in Arizona?

For Retail Consumer Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Retail Consumer Science jobs in Arizona look for?

The top searched job categories for Retail Consumer Science jobs in Arizona are:

What cities in Arizona are hiring for Retail Consumer Science jobs?

Cities in Arizona with the most Retail Consumer Science job openings:

Retail Consumer Science jobs near you
Infographic showing various Retail Consumer Science job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $55,358 per year, or $26.6 per hour.

Business Intelligence & Insights Manager

Chuck Latham Associates, Inc

Phoenix, AZ

Full-time

Posted 16 days ago

Job description

Position Summary
We are seeking a highly analytical and customer-focused Business Intelligence & Insights Manager to lead and execute the company's business intelligence and analytics initiatives. This is a hands-on leadership role responsible for managing a Data Analyst while actively building reports, dashboards, category analyses, retailer insights, and custom business intelligence solutions.
The successful candidate will serve as the primary resource for retailer, shopper, category, customer, and company performance analytics. They will partner closely with internal stakeholders and customers to transform data into actionable recommendations that support decision making, customer growth, and business performance.
This position requires a balance of technical expertise, analytical problem-solving, customer-facing communication, and team leadership.
Job Responsibilities

Business Intelligence Leadership
  • Lead the company's Business Intelligence and Insights function.
  • Manage and develop the Data Analyst, ensuring high-quality analytics, reporting, and insight generation.
  • Establish priorities, processes, KPIs, and reporting standards for the analytics team.
  • Drive a culture of data-informed decision making across the organization.
  • Identify opportunities to improve reporting efficiency, automation, and data accessibility.
Analytics Development & Data Management
  • Build and maintain reports, dashboards, scorecards, and business intelligence tools from the ground up.
  • Develop and manage category, retailer, brand, product, and customer data structures.
  • Create and maintain category hierarchies, subcategories, and reporting frameworks.
  • Support data validation, quality assurance, and troubleshooting efforts.
  • Write and maintain queries, calculations, and analytical models used throughout the organization.
  • Automate recurring reporting where possible while supporting ad hoc analytical requests.
  • Ensure consistency and accuracy across retailer, customer, syndicated, and internal datasets.
  • Maintain documentation and reporting procedures to support organizational knowledge transfer.
Customer & Commercial Partnership
  • Participate in customer meetings, business reviews, line reviews, and strategic planning sessions.
  • Present category, retailer, shopper, consumer, and market insights in a compelling and actionable manner.
  • Develop data-driven recommendations that support customer growth and strengthen retailer relationships.
  • Partner with Sales, Category Management, Marketing, and Customer Development teams to support strategic account planning.
  • Serve as a trusted advisor to both customers and internal stakeholders.
Retail, Category & Shopper Insights
  • Analyze retailer POS, syndicated, shopper, e-commerce, and internal sales data.
  • Identify trends related to: 
    • Category performance
    • Shopper behavior
    • Market share
    • Pricing and promotion effectiveness
    • Distribution and assortment
    • Retailer and channel performance
    • Competitive activity
  • Translate insights into strategic recommendations and growth opportunities.
Internal Analytics & Strategic Support
  • Serve as the primary point of contact for company-wide analytics and reporting needs.
  • Partner with leadership teams to establish KPIs and measurement frameworks.
  • Support annual operating plans, budgeting, forecasting, and business reviews through data-driven analysis.
  • Provide analytical support for new product launches, promotions, customer initiatives, and strategic projects.
  • Help business leaders understand retailer dynamics and emerging market opportunities.
Reporting, Dashboards & Data Management
  • Oversee the development and maintenance of dashboards, scorecards, reports, and executive summaries.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.
  • Maintain relationships with syndicated data providers and retailer data platforms.
  • Evaluate new data sources, technology, and analytical tools that improve business intelligence capabilities.
Knowledge Transfer & Process Improvement
  • Develop documentation, reporting standards, and analytics best practices.
  • Train and coach internal teams on reporting tools, dashboard usage, and data interpretation.
  • Create scalable processes that improve organizational access to insights and reporting.
Job Requirements
  • Bachelor's degree in Business, Analytics, Marketing, Economics, Statistics, Data Science, or related field.
  • 7+ years of experience in Business Intelligence, Category Management, Retail Analytics, Shopper Insights, or related disciplines.
  •  Experience leading or mentoring analytics professionals.
  •  Strong customer-facing presentation and communication skills.
  • Experience translating data into actionable business recommendations.
  • Advanced Excel and PowerPoint proficiency.
  • Demonstrated success partnering with commercial, sales, and leadership teams,
Preferred
  • Experience within CPG, pet industry, retail, consumer products, or distributor environments.
  • Experience with syndicated data sources including Circana/IRI, NielsenIQ, SPINS, retailer portals, Stackline, or similar platforms.
  • Experience with Power BI, Tableau, SQL, or related business intelligence tools.
  • Category management or shopper insights experience.
  • Experience presenting to retailer and customer leadership teams.

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