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Remote Inventory Analyst Jobs in Dallas, TX (NOW HIRING)

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from multiple data sets, analyze and interpret complex data sets and make findings relevant and actionable for ...

Techywhiz

Business Analyst

Dallas, TX · On-site +1

A technical expert in the field of product analytics, comfortable utilizing and architecting modern tools, and excited to set the standard of existing systems and practices. * Experience with SQL ...

Lantern

Operations Data Analyst

Dallas, TX · On-site +1

Operations Data Analyst As the Operations Data Analyst for the Outbound Program, you will support the day-to-day data and reporting needs of the outbound Care Advocate team. You will compile ...

MV Transportation

Business Analyst

Dallas, TX · On-site +1

Responsibilities MV Transportation is seeking a Business Analyst to support the day-to-day administration, maintenance, and optimization of the Workday platform. This role partners with HR, Payroll, ...

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$14

$28

$48

How much do remote inventory analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote inventory analyst in Dallas, TX is $28.42, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $32.36 per hour, depending on experience, location, and employer.

What is a remote inventory analyst?

A Remote Inventory Analyst is responsible for monitoring, managing, and optimizing inventory levels for a company while working remotely. They analyze inventory data, forecast demand, and coordinate with suppliers to ensure stock availability while minimizing excess inventory. Their role often involves using inventory management software, generating reports, and collaborating with different teams to improve supply chain efficiency. This position requires strong analytical skills, attention to detail, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote inventory analyst?

To thrive as a Remote Inventory Analyst, you need strong analytical abilities, attention to detail, and a degree in business, supply chain, or a related field. Familiarity with inventory management systems such as SAP, Oracle, or NetSuite, along with proficiency in Excel and data visualization tools, is highly valuable. Excellent organizational skills, proactive communication, and self-motivation are important soft skills for excelling in a remote environment. These competencies ensure accurate inventory tracking, seamless collaboration with cross-functional teams, and effective problem-solving while working independently.

What are the typical daily responsibilities of a remote inventory analyst?

As a Remote Inventory Analyst, your typical day involves monitoring inventory levels, analyzing trends and usage data, and preparing regular reports to optimize stock and minimize shortages or overages. You will use inventory management software to reconcile discrepancies, coordinate with suppliers and internal teams, and assist in forecasting demand. Communication often occurs via email, video calls, and collaborative project tools, requiring comfort with remote workflows. Your role is crucial in maintaining efficient operations and supporting strategic decision-making, even while working from a home-based setting.

What are the most commonly searched types of Inventory Analyst jobs in Dallas, TX?

The most popular types of Inventory Analyst jobs in Dallas, TX are:

What are popular job titles related to Remote Inventory Analyst jobs in Dallas, TX?

For Remote Inventory Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Inventory Analyst jobs in Dallas, TX look for?

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What cities near Dallas, TX are hiring for Remote Inventory Analyst jobs?

Cities near Dallas, TX with the most Remote Inventory Analyst job openings:

Remote Inventory Analyst jobs near you
Infographic showing various Remote Inventory Analyst job openings in Dallas, TX as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $59,110 per year, or $28.4 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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