1

Ups Data Analyst Jobs in California (NOW HIRING)

Data Analyst

Irvine, CA · On-site

$70 - $100/hr

Collaborate with the US-based reporting team via daily stand-ups to clear the analytical backlog and fulfill ad‑hoc data requests. Qualifications: * 2-4 years of experience as a Data Analyst, BI ...

... ups, NPS, shelter engagement). * Apply advanced analytical techniques including behavioral ... Provide data support for partnership GTM initiatives including revenue modeling, audience sizing ...

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 ...

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Overview The primary responsibility of the Senior Analyst, People Analytics and Data is to provide ... Advanced skills in Microsoft Office, including Excel (V-Look ups, pivot tables). * Mentoring team ...

Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards, and data visualizations to convey your ...

Senior PLM Analyst

Palo Alto, CA

$101K - $127K/yr

... mark-ups, effectiveness, and disposition. * Manage Revision Compatibility, Commodity based Part ... Coordinate Change Orders through Review / Approval / Data Transfer Process * Facilitate timely ...

Senior PLM Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

... mark-ups, effectiveness, and disposition. * Manage Revision Compatibility, Commodity based Part ... Coordinate Change Orders through Review / Approval / Data Transfer Process * Facilitate timely ...

Analyze customer submissions, data, and results to understand desired changes to the machine ... ups in San Francisco. The work you do here will have a noticeable and direct impact on the ...

Analyze customer submissions, data, and results to understand desired changes to the machine ... ups in San Francisco. The work you do here will have a noticeable and direct impact on the ...

next page

Showing results 1-20

Ups Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do ups data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ups data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a UPS data analyst?

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.

What does a UPS data analyst do?

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 as a UPS data analyst?

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 are the most commonly searched types of Ups Data Analyst jobs in California?

The most popular types of Ups Data Analyst jobs in California are:

What are popular job titles related to Ups Data Analyst jobs in California?

For Ups Data Analyst jobs in California, the most frequently searched job titles are:

Infographic showing various Ups Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

Orbee

Irvine, CA • On-site

$70 - $100/hr

Other

Posted 5 days ago


Job description

Orbee provides digital marketing analytics, data, and automation solutions to the automotive industry. Franchise and independent dealers and large dealership groups utilize the company’s platform to make actionable decisions based on analytics of their campaigns, inventory, and consumer experiences, build comprehensive buyer profiles by connecting first-party data signals from their web sites and integrated partners and automate messaging across all paid and earned channels with personalization and segmentation. The company partners with dealer-centric media agencies, service providers, and OEM programs to expand the reach of its powerful technologies. Orbee’s core technology products include its proprietary data collection, processing, and reporting pipeline, its robust set of dashboards and APIs, and campaign and creative tools for email, search, social, on and off-site display, and video. Orbee was founded in 2015 and is headquartered in Irvine, California. Learn more at www.orbee.com .

Description

We are looking for a highly skilled and detail-oriented Data Analyst to join our Reporting and Data Services team. Working directly from requests funneled through our US-based reporting leads, you will be the analytical engine of the team. Your primary goal is to query our databases, investigate data discrepancies, audit marketing lists, and build the reporting deliverables that power Orbee’s Data Platform and Analytics, Marketing, and Advertising Applications. You will handle the heavy analytical lifting, ensuring that the data presented to our automotive clients is accurate, unified, and actionable.

Key Responsibilities:
  • Write, debug, and optimize complex SQL queries to extract, aggregate, and analyze massive sets of automotive marketing and inventory data.
  • Investigate and resolve specific data logic issues assigned via HubSpot and Jira, such as tracking down historical CRM and data discrepancies.
  • Audit and standardize large external data sets (e.g., reviewing automated email lists, ad platform performance data, and vendor feeds) to ensure data cleanliness before reporting.
  • Build, update, and maintain client-facing dashboards and reports within our BI environments, working strictly to the product vision outlined by the team lead.
  • Perform rigorous QA on data sets and reports to ensure flawless deliverables for our Customer Success (CS) team.
  • Collaborate with the US-based reporting team via daily stand-ups to clear the analytical backlog and fulfill ad‑hoc data requests.
Qualifications:
  • 2-4 years of experience as a Data Analyst, BI Analyst, or similar role, ideally dealing with marketing, SaaS, or automotive data.
  • Advanced proficiency in SQL (PostgreSQL and Clickhouse preferred), with the ability to comfortably write complex joins, CTEs, and aggregations.
  • Exceptional attention to detail and a proactive approach to investigating "why" numbers might not match up.
  • Ability to take structured analytical requirements (Jira tickets) and execute them efficiently with minimal oversight.
#J-18808-Ljbffr