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Ups Data Analyst Jobs (NOW HIRING)

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... ups in San Francisco. The work you do here will have a noticeable and direct impact on the ...

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... ups in San Francisco. The work you do here will have a noticeable and direct impact on the ...

The Supply Chain Data Analyst will play a critical role in evolving Bevi's operational efficiency ... follow-ups, or predictive stock alerting) to reduce administrative overhead. * Continuous ...

... analyst will work closely with business, operations, risk, and technology teams to help ensure data ... follow-ups, and documenting outcomes * Participatein working sessions focused on improving the ...

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Ups Data Analyst information

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$82.6K

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How much do ups data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for ups data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a UPS Data Analyst, and how do they collaborate with other teams?

A typical day for a UPS Data Analyst involves gathering and analyzing shipment and operational data to identify trends, generate actionable reports, and support process improvements. Data Analysts regularly collaborate with logistics managers, IT professionals, and operations teams to understand business needs and translate those into data-driven solutions. They may participate in meetings to communicate insights or provide recommendations for optimizing route performance and reducing costs. The role often entails balancing independent analysis with teamwork, making communication and adaptability crucial in this fast-paced logistics environment.

What are the key skills and qualifications needed to thrive in the Ups Data Analyst position, and why are they important?

To excel as a UPS Data Analyst, you need a strong background in data analysis, statistical methods, and logistics, often supported by a degree in analytics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and experience with logistics information systems or certifications like Six Sigma are highly valued. Strong problem-solving abilities, attention to detail, and communication skills are important soft skills for collaborating with cross-functional teams. These competencies enable analysts to extract actionable insights, drive operational efficiency, and support data-driven decision-making within UPS's dynamic logistics environment.

What is a UPS Data Analyst job?

A UPS Data Analyst is responsible for analyzing and interpreting data to improve logistics, operations, and business performance. They work with large datasets to identify trends, optimize delivery routes, enhance efficiency, and support decision-making processes. This role involves using data visualization tools, statistical models, and reporting systems to provide insights that help UPS streamline its services. Strong analytical skills, proficiency in data analysis software, and a good understanding of supply chain logistics are essential for this position.

More about Ups Data Analyst jobs
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What states have the most Ups Data Analyst jobs? States with the most job openings for Ups Data Analyst jobs include:

Sr. Data Integration Business Analyst

Neos Consulting

Austin, TX • On-site

Other

Posted 3 days ago


Job description

City : Austin
State : Texas
Neos is Seeking a Sr. Data Integration Business Analyst for a long-term contract role with our client in Austin, TX.
***REMOTE (TEXAS) - ONLY CANDIDATES CURRENTLY RESIDING IN TEXAS WILL BE CONSIDERED***
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Description of Services
The Division of Integrated District Supports is seeking a strategic and detail-oriented System Analyst (Data Integration and Business Analyst) to lead the discovery, documentation, and design of data and business requirements that support the development of OnePlan.
This role will bridge business and technical teams by establishing a comprehensive data foundation, defining integration strategies, and translating complex business needs into clear, actionable requirements for system design and vendor implementation.
Responsibilities
  • Develop a comprehensive, vendor-ready data map by inventorying TEA and external data systems and documenting:
    • Data sources
    • Data ownership
    • Data formats
    • Dependencies
    • Data integration requirements
  • Assess data quality across systems by identifying:
    • Gaps
    • Inconsistencies
    • Duplications
    • Standardization needs
  • Recommend data cleansing and validation strategies.
  • Design a scalable data integration strategy that improves:
    • Data accessibility
    • Interoperability
    • Usability
    • Long-term sustainability
  • Align data integration strategy with TEA's implementation of the Ed-Fi Data Standard.
  • Serve as the Business Analyst for OnePlan by:
    • Gathering business requirements
    • Analyzing business requirements
    • Documenting business and system requirements using Modern Requirements
    • Developing process flows
    • Documenting skip logic
    • Defining system interdependencies
    • Creating user interface mock-ups
    • Translating business needs into functional requirements for vendor design and development
  • Support broader IDS initiatives including:
    • LASO
    • GSA
    • OneSystem
    • Other related workstreams

Required Qualifications:
- Bachelor's degree in related fields such as: Information Systems, Computer Science, Data Analytics, Business Administration, or a related field, or equivalent relevant experience.
- Demonstrated experience as a Business Analyst, Systems Analyst, or Data Analyst leading requirements gathering, business process analysis, and functional documentation for technology implementation projects.
- Experience analyzing complex data environments, documenting data sources and integrations, and developing data governance, data quality, and integration strategies.
- Strong ability to translate business needs into clear functional requirements and collaborate effectively with cross-functional business, technical, and vendor teams.
- Excellent analytical, problem-solving, project management, and communication skills, with the ability to manage multiple priorities in a fast-paced environment.
Skills and Qualifications
  • 8 years business requirements gathering, functional requirements documentation, and business process mapping.
  • 8 years data mapping, data analysis, data quality assessment, data governance, and data integration.
  • 3 years documenting system integrations, APIs, ETL processes, and data flows.
  • 3 years proficiency with Microsoft Excel, Microsoft Visio (or equivalent), and Microsoft Office Suite.
  • 3 years proficiency with SQL and business intelligence tools such as Microsoft Power BI.
  • 2 years proficiency with requirements management and project tools such as Azure DevOps, Jira, and Modern Requirements.
  • 2 years proficiency with the Ed-Fi Data Standard and data interoperability frameworks.

Preferred Skills and Qualifications
  • 1 year experience working with state agencies, the education sector, or related fields.

#DICE
#LI-IC