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Retail Data Jobs in Arizona (NOW HIRING)

PNC Bank

Data Manager

Phoenix, AZ

As a Data Manager within PNC's Data Products - Retail Lending organization, you will be based in either; Pittsburgh, PA, Birmingham, AL, Dallas, TX and Phoenix, AZ. Data Manager leads Data Management ...

Premium Retail Services

Retail Merchandiser - Walmart

AZ ยท On-site

$12.50 - $15.50/hr

As a Walmart Retail Merchandiser at Acosta, you'll ensure Acosta's client brands stand out at ... Provide accurate and concise data and photos by following provided instructions. * Reporting your ...

Premium Retail Services

Retail Merchandiser - Walmart

Mesa, AZ ยท On-site

$13.75 - $16.75/hr

As a Walmart Retail Merchandiser at Acosta, you'll ensure Acosta's client brands stand out at ... Provide accurate and concise data and photos by following provided instructions. * Reporting your ...

Premium Retail Services

Retail Merchandiser - Walmart

Mesa, AZ ยท On-site

$13.75 - $16.75/hr

As a Walmart Retail Merchandiser at Acosta, you'll ensure Acosta's client brands stand out at ... Provide accurate and concise data and photos by following provided instructions. * Reporting your ...

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Showing results 21-40

All JobsRetail Data JobsRetail Data Jobs in Arizona

Retail Data information

See Arizona salary details

$7

$14

$21

How much do retail data jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for retail data in Arizona is $14.42, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $16.11 per hour, depending on experience, location, and employer.

What is retail data?

Retail data refers to the information collected from retail operations, including sales transactions, inventory levels, customer behavior, and product performance. This data is used to analyze trends, optimize inventory, improve customer experience, and make informed business decisions. Retail data can come from point-of-sale systems, e-commerce platforms, loyalty programs, and other sources. By leveraging retail data, businesses can better understand their customers and market, ultimately driving growth and efficiency.

How does a retail data analyst typically collaborate with other departments to drive business decisions?

Retail Data Analysts work closely with teams such as merchandising, marketing, and inventory management to provide actionable insights from sales and customer data. They often participate in cross-functional meetings, presenting data-driven recommendations to optimize product assortment, pricing strategies, and promotional campaigns. Effective communication and teamwork are essential, as analysts must translate complex datasets into clear, impactful strategies that align with the broader business objectives.

What are the key skills and qualifications needed to thrive as a retail data analyst, and why are they important?

To thrive as a Retail Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data visualization, often supported by a degree in mathematics, statistics, business, or a related field. Proficiency in tools like Excel, SQL, and analytics platforms such as Tableau or Power BI, along with familiarity with retail management systems, is typically required. Attention to detail, problem-solving skills, and effective communication help you interpret data insights and share findings with stakeholders. These skills are essential for driving data-informed decisions that optimize sales, inventory, and customer experiences in the retail sector.

What is the difference between Retail Data vs Retail Data Analyst?

AspectRetail DataRetail Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkDegree in data analysis, statistics, or related field; proficiency in data tools
Work EnvironmentData collection, management, and reporting in retail settingsAnalyzing retail data to generate insights, often in an office or remote setting
Employer & Industry UsageRetail companies, data service providersRetail chains, market research firms, analytics agencies
Search & Comparison IntentUnderstanding data roles in retailDistinguishing data management from analysis roles

Retail Data involves collecting and managing retail-related information, while Retail Data Analysts interpret this data to provide actionable insights. The analyst role requires more specialized skills and education, focusing on analysis and reporting, whereas Retail Data roles may focus more on data collection and maintenance.

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

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

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

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

What cities in Arizona are hiring for Retail Data jobs?

Cities in Arizona with the most Retail Data job openings:

Retail Data jobs near you
Infographic showing various Retail Data job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $29,995 per year, or $14.4 per hour.

Remote Data Analyst / HR

Jobsultant Solutions

Tucson, AZ โ€ข Remote

Contractor

Re-posted 6 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

๏ปฟEqual Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

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