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Retail Data Analyst Jobs in Houston, TX (NOW HIRING)

Gridmatic Inc

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

At most retail energy providers, legacy systems and process ownership are locked in, and there ... Data validation / QA automation Should have - important, less urgent * Operations work queue:

Synsus, LLC.

Sr. Brand and Marketing Manager

Houston, TX · On-site

$120 - $160/hr

Strong analytical capabilities with experience leveraging consumer, category, and retail data.Proven ability to influence cross functional teams and lead through complexity.Excellent communication ...

Synsus.

Sr. Brand and Marketing Manager

Houston, TX · On-site

$120 - $180/hr

Strong analytical capabilities with experience leveraging consumer, category, and retail data. * Proven ability to influence cross functional teams and lead through complexity. * Excellent ...

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All JobsRetail Data Analyst JobsRetail Data Analyst Jobs in Houston, TX

Retail Data Analyst information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do retail data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for retail data analyst in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is a retail data analyst?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

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

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a retail data analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, inventory, and customer data to help retail businesses make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, optimize stock levels, and improve sales strategies. Strong analytical skills and understanding of retail operations are essential for this role.

What is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify patterns, trends, and insights that support decision-making. Retail data analysts use tools like Excel, SQL, and data visualization software to optimize inventory, improve customer experience, and increase sales efficiency.

What are the most commonly searched types of Retail Data Analyst jobs in Houston, TX?

The most popular types of Retail Data Analyst jobs in Houston, TX are:

What are popular job titles related to Retail Data Analyst jobs in Houston, TX?

For Retail Data Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Retail Data Analyst jobs in Houston, TX look for?

The top searched job categories for Retail Data Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Retail Data Analyst jobs?

Cities near Houston, TX with the most Retail Data Analyst job openings:

Retail Data Analyst jobs near you
Infographic showing various Retail Data Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Reverse Logistics Data Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Posted 23 days ago

Prime Communications rating

5.9

Company rating: 5.9 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

21st of 30 rated technology retailers

Job description

Position Summary
The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, refurbishment, and disposition processes within AT&T's supply chain network. This role leverages data analytics to improve asset recovery rates, reduce losses, streamline reverse supply chain operations, and ensure compliance with operational and financial controls.
The ideal candidate combines strong analytical expertise with operational acumen in telecommunications device lifecycle management.
Key Responsibilities
Data Analysis, Research & Reporting
  • Analyze reverse logistics data including device returns, RMA trends and trade-ins
  • Identify root causes of processing delays, loss exposure, or compliance gaps.
  • Perform variance analysis across all systems.

Process Optimization
  • Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverse logistics workflows.
  • Identify process bottlenecks and recommend automation or system enhancements.
  • Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls
  • Monitor financial impact of returns, write-offs, credits, and vendor chargebacks.
  • Support reconciliation efforts between physical inventory and system records.
  • Assist in forecasting reverse volume trends and recovery projections.

Cross-Functional Collaboration
  • Work with distribution centers, field leadership, AR/retail teams, and vendors to resolve data discrepancies.
  • Provide executive-level reporting and insights.
  • Support strategic initiatives related to device lifecycle management and sustainability goals.

Preferred Qualifications
  • Bachelor's degree in Supply Chain, Business Analytics, Finance, Statistics, or related field.
  • 2+ years of experience in data analytics, supply chain analytics, or reverse logistics.
  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas).
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Ability to translate complex datasets into actionable insights.
  • Experience in telecommunications or consumer electronics supply chain.
  • Knowledge of device lifecycle management and refurbishment operations.

Core Competencies
  • Data-driven decision making
  • Operational risk assessment
  • Process improvement mindset
  • Stakeholder communication
  • Attention to detail

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