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Logistic Data Analyst Jobs in Arizona (NOW HIRING)

... logistics, and supplier management. • Exposure to SAP ECC (or other ERP system) data, including ... analytics and reporting tools.

Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required * 0-2 years of experience in data analytics, business ...

Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required * 0-2 years of experience in data analytics, business ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Develop business methods and procedures, including accounting systems, file systems, logistics ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Develop business methods and procedures, including accounting systems, file systems, logistics ...

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... like Logistic Regression, Confidence Intervals Additional Information Achieve well-being with:

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... like Logistic Regression, Confidence Intervals Additional Information Achieve well-being with:

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... like Logistic Regression, Confidence Intervals Additional Information Achieve well-being with:

... of logistics experience - MS Office experience, including experience with intermediate level in ... using data to drive root cause analysis for making business decisions with Excel or other ...

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Logistic Data Analyst information

What is a logistic data analyst?

Logistic Data Analysts are professionals who collect, analyze, and interpret data related to supply chain and logistics operations. They use statistical and analytical tools to improve efficiency, reduce costs, and enhance decision-making in transportation, warehousing, and inventory management. Their work often involves creating reports, forecasting trends, and identifying bottlenecks or opportunities for process improvement. Logistic Data Analysts play a crucial role in helping organizations optimize their logistics strategies and maintain a competitive edge.

How does a logistic data analyst typically collaborate with other departments within a company?

A Logistic Data Analyst frequently works cross-functionally, partnering with teams such as supply chain, procurement, operations, and IT. They gather input from these groups to ensure accurate data collection and understand business requirements, which helps them create actionable insights. Regular meetings and data-sharing sessions are common, as analysts must align their recommendations with real-world logistics challenges and strategic goals. This collaborative environment not only broadens their impact across the organization but also enhances opportunities for professional growth and learning.

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

To thrive as a Logistic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with data analytics tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle) is typically required, along with certifications like CLTD (Certified in Logistics, Transportation and Distribution) being advantageous. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications enable analysts to optimize supply chain processes, drive efficiency, and support data-driven decision-making within logistics operations.

What is the difference between Logistic Data Analyst vs Supply Chain Analyst?

AspectLogistic Data AnalystSupply Chain Analyst
CredentialsDegree in logistics, supply chain, or related field; data analysis certificationsDegree in supply chain management, logistics, or business; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousesManufacturers, retailers, distribution centers
Employer & Industry UsageFocuses on transportation, freight, and logistics operationsOversees entire supply chain processes including procurement and distribution

While both roles involve data analysis within logistics and supply chain contexts, Logistic Data Analysts primarily focus on transportation and freight data, whereas Supply Chain Analysts oversee broader supply chain processes. The roles often overlap but differ in scope and specific responsibilities.

Are logistics data analysts in high demand?

Logistics data analysts are in high demand due to the increasing need for efficient supply chain management and data-driven decision making. Employers seek professionals skilled in data analysis, logistics software, and supply chain processes to optimize operations and reduce costs.

What degree do you need to be a logistic data analyst?

A logistic data analyst typically needs at least a bachelor's degree in fields such as logistics, supply chain management, data analysis, statistics, or business administration. Strong skills in data analysis tools like Excel, SQL, or Python are also important, and some roles may prefer or require a master's degree or relevant certifications.

What is the average salary for a logistic data analyst?

The average salary for a logistics data analyst typically ranges from $55,000 to $80,000 annually, depending on experience, location, and industry. Professionals in this role often use data analysis tools like Excel, SQL, and Tableau to optimize supply chain operations.

What cities in Arizona are hiring for Logistic Data Analyst jobs?

Cities in Arizona with the most Logistic Data Analyst job openings:

Data Analyst

Tempe, AZ • On-site

Other

Posted 8 days ago


Job description

Data Analyst


LOCATION: Tempe, AZ


LENGTH: 12 months, with a possible extension 


SCHEDULE: Hybrid, with two days onsite a week and the remaining days remote.


Experience Level: 1 to 3 years


Overview
The Supply Chain Data Analyst improves supply chain performance through data research, analysis, and reporting. This role develops dashboards, analytics, and automated solutions that combine data from multiple sources. The ideal candidate brings strong attention to detail, foundational analytical skills, and an interest in supply chain knowledge. The analyst will analyze data and communicate clear findings with guidance from business and technical partners.

Key Responsibilities
•    Develop and maintain Power BI dashboards, reports, and scorecards for operational and strategic decision-making.
•    Partner with Supply Chain teams and other stakeholders to translate business requirements into reporting and analytics solutions.
•    Support KPI definition and maintain performance reporting.
•    Automate reporting to reduce manual effort and improve data access.
•    Write and maintain SQL queries and data transformations.
•    Validate data quality and integrity through audits, testing, and reconciliation.
•    Deliver ad hoc analysis, executive reporting, and decision support.
•    Analyze datasets from multiple sources to identify trends, risks, opportunities, and actionable insights.
•    Support root cause analysis and identify improvement opportunities.
•    Communicate findings to business stakeholders.
•    Evaluate analytics, business intelligence, and AI capabilities that improve analysis and decision-making.

Qualifications

Required
•    Working knowledge of Power BI, including dashboard development, data modeling, DAX, Power Query, and data visualization practices.
•    Foundational to intermediate experience with SQL and query performance optimization.
•    Understanding of relational databases and data modeling.
•    Experience developing KPI scorecards, operational reports, and business intelligence solutions.
•    Ability to translate data into clear business insights and recommendations.
•    Good analytical, problem solving, and critical thinking skills.
•    Experience validating data quality, accuracy, and consistency.
•    Strong written and verbal communication skills for technical and business audiences.
•    Proficient with standard Microsoft 365 tools such as Outlook, Word, Excel, and PowerPoint.

Preferred
•    Exposure to Supply Chain functions such as procurement, strategic sourcing, materials and inventory management, logistics, and supplier management.
•    Exposure to SAP ECC (or other ERP system) data, including purchase requests, purchase orders, invoices, supplier and material master data, inventory, and receipts.
•    Experience using Snowflake or a similar cloud data platform.
•    Familiarity with Microsoft SharePoint, Power Automate, or Power Apps.
•    Coursework or project experience with statistical analysis, trend analysis, forecasting, or predictive analytics.
•    Interest in AI-assisted analytics and reporting tools.