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Ups Data Analyst Jobs (NOW HIRING)

Supper's chat agent guides users with follow-ups, clarifies intent, and helps them drill into what ... Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem ...

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

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

Sr Health Data Analyst

Seattle, WA ยท On-site

$97K - $123K/yr

The Sr. Data Analyst must be an exceptionally strong quantitative and analytically-oriented ... ups of technical items for committee/Board consideration. โ€ข Provide consultation on the ...

Sr. Health Data Analyst

Seattle, WA ยท On-site

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities ... ups of technical items for committee/Board consideration. * Provide consultation on the ...

Senior Data Analyst, Finance

Saint Louis, MO ยท On-site

$83K - $105K/yr

The Senior Data Analyst, Finance is responsible for identifying Finance user requirements and ... Build wireframes and functional mock-ups to conceptualize dashboard design and align user ...

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UPS Data Analyst information

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$34K

$82.6K

$136K

How much do ups data analyst jobs pay per year?

As of Jul 23, 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
What cities are hiring for Ups Data Analyst jobs? Cities with the most Ups Data Analyst job openings:
What are the most commonly searched types of Ups Data Analyst jobs? The most popular types of Ups Data Analyst jobs are:
What states have the most Ups Data Analyst jobs? States with the most job openings for Ups Data Analyst jobs include:
Infographic showing various Ups Data Analyst job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Forward Deployed Data Analyst

Forward Deployed Data Analyst

Supper

New York, NY โ€ข On-site

$130/day

Full-time

Posted 28 days ago


Job description

About Supper
Supper is an AI-native data platform that makes your company's information as easy to use as a conversation.
Business teams at most high-growth companies are held back by data request backlogs, overwhelmed by dashboards, or relying on outdated reports.
Supper changes that. Anyone can just ask a question in plain English and get a clear, trusted answer. No SQL, no dashboards, no waiting. Supper's chat agent guides users with follow-ups, clarifies intent, and helps them drill into what they actually want to know - whether it's sales tracking pipeline velocity, product digging into adoption, or finance monitoring margins.
We've already helped teams answer over 100,000 real business questions. Supper connects to all your systems, cleans and unifies the data, learns your company's unique metrics, and keeps everything live and auditable.
About the role
  • Supper is building the next generation of AI-powered analytics - and we're looking for a Forward Deployed Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem-solving in fast-evolving systems.
  • You'll work directly with customers and our internal engineering and product teams to ensure Supper's AI reasoning layer translates business questions into correct, efficient, and insightful queries. You'll diagnose query issues, optimize view and table design, and shape the data architecture that underpins our customers' success.
  • This is a role for someone who can think strategically about the design of data systems and tactically about how to fix what's broken - a mix of detective, architect, and translator between humans and machines.
  • As an early team member, you'll play a key role in defining how Supper scales - both our product and our company.

What you'll do
  • SQL Mastery & Data Design: Write, review, and optimize complex SQL queries and data models. Understand deeply how base tables, derived views, and metrics layers interact. Propose structural improvements to simplify joins, reduce latency, and improve accuracy.
  • System Diagnosis & Debugging: Investigate and resolve issues across our AI analytics pipeline - from question parsing and prompt translation to data retrieval and query execution.
  • Customer Collaboration: Work directly with customers to understand their data structures, ensure Supper performs flawlessly in their environment, and surface insights that improve their analytics outcomes.
  • Internal Feedback Loop: Translate customer challenges and recurring issues into actionable feedback for the product and engineering teams. Collaborate closely with founders to influence system architecture and performance strategy.
  • Performance & Sync Optimization: Identify where syncing, schema design, or data transformation can be improved to boost system speed, reliability, and interpretability.
  • Cross-Team Coordination: Serve as a bridge between customers, engineers, and account managers. Keep complex projects organized while juggling multiple priorities in a high-velocity environment.

You'll love this job if you...
  • Are exceptional with SQL - not just writing queries, but thinking in SQL.
  • Communicate clearly with both technical and non-technical stakeholders.
  • Enjoy structuring messy, fast-changing systems into something elegant and scalable.
  • Thrive in an early-stage startup with smart, intense teammates and constant evolution.
  • Love solving hard problems and working close to the frontier of AI and analytics.

Qualifications
  • 2-5+ years in analytics, data engineering, or BI roles in tech or startup environments
  • Deep experience with SQL; familiarity with data modeling, ETL/ELT, and BI tools
  • Strong organizational and communication skills - able to translate complex technical findings into clear recommendations
  • High intellectual curiosity, low ego, and a bias for action
  • Excited to work from Supper's NYC office 4 days/week (1 remote day/week)

Compensation
  • OTE $130-190k based on experience.
  • Early-stage equity-you're not just renting your talent.