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Teradata Data Analyst Jobs in California (NOW HIRING)

Principal AI Architect

San Diego, CA · On-site

$150 - $200/hr

... Analytics, and UX Engineering organization. You will partner with the VP of Engineering for AI ... This role has significant cross‑functional reach -- you will engage with Teradata's Core Data ...

About Teradata At Teradata, we believe that people thrive when empowered with better information. That's why we build the most complete cloud analytics and data platform for AI. By delivering ...

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data ... Lead complex debugging and root-cause analysis of system-level customer and field issues, including ...

Senior Staff AI Engineer

San Diego, CA · On-site

$150 - $180/hr

About Teradata At Teradata, we believe that people thrive when empowered with better information. That's why we build the most complete cloud analytics and data platform for AI. By delivering ...

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Showing results 41-60

Teradata Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do teradata data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for teradata 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 are some common challenges faced by Teradata data analysts in their daily work?

Teradata Data Analysts often work with very large and complex datasets, which can present challenges in ensuring data accuracy, optimizing query performance, and troubleshooting unexpected results. Navigating multiple data sources and integrating information for comprehensive analysis requires technical expertise and attention to detail. Analysts must frequently collaborate with stakeholders from business and IT, balancing varying requirements and timelines. Overcoming these challenges provides valuable experience in handling enterprise data and builds strong problem-solving and communication skills essential for career advancement.

What is a Teradata data analyst?

A Teradata Data Analyst is responsible for analyzing and managing large datasets using Teradata's database solutions. They write complex SQL queries, optimize database performance, and generate reports to support business decision-making. This role often involves extracting, transforming, and loading (ETL) data, ensuring data accuracy, and improving query efficiency. Analysts work closely with data engineers, business analysts, and stakeholders to provide actionable insights. Strong SQL skills, knowledge of Teradata architecture, and experience with data visualization tools are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Teradata data analyst?

To thrive as a Teradata Data Analyst, you need strong analytical skills, proficiency in SQL, and a solid understanding of data warehousing concepts, often supported by a degree in computer science, information systems, or a related field. Familiarity with Teradata Database, ETL tools, and relevant certifications such as Teradata Certified Professional is highly beneficial. Attention to detail, problem-solving abilities, and effective communication are key soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure accurate data extraction, meaningful analysis, and the ability to deliver actionable insights in complex enterprise environments.

What job categories do people searching Teradata Data Analyst jobs in California look for? The top searched job categories for Teradata Data Analyst jobs in California are:
Infographic showing various Teradata Data Analyst job openings in California as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Director, Pricing Strategy, AI Platform - 220059

Teradata

San Diego, CA • On-site, Remote

Full-time

Re-posted 24 days ago


Job description

Our Company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You'll Do
The Director of Pricing Strategy for the AI Platform leads monetization for Teradata's AI/ML, LLM, agentic, and compute‑intensive workloads. This role shapes how Teradata captures value in the rapidly evolving AI market.
  • Develop and own the end‑to‑end pricing strategy for the AI Platform portfolio.
  • Define pricing strategy for AI workloads, including model training, inference, vector search, and agentic orchestration.
  • Build usage‑aligned pricing models that scale with compute, GPU, and AI service consumption.
  • Conduct competitive analysis across AI platforms.
  • Develop packaging and SKU strategy for AI platform and add‑ons.
  • Collaborate with Finance to model revenue impact, elasticity, and pricing scenarios.
  • Partner with Sales and Deal Desk to ensure pricing is executable and aligned with field needs.
  • Establish pricing guardrails and discount frameworks specific to AI workloads.
  • Drive readiness for AI product launches, including pricing, PIDs, CPQ requirements, and enablement.

Who You'll Work With
You will partner with AI Product leadership to influence roadmap prioritization based on monetization potential.
What Makes You a Qualified Candidate
  • 10-15+ years in pricing, AI product strategy, or cloud monetization
  • Experience with AI/ML platforms and agentic AI pricing
  • Strong financial modeling and scenario analysis skills
  • Proven track record building value‑based pricing models
  • Experience partnering with Product, Finance, and Sales leadership
  • Bachelor's degree required; MBA or equivalent preferred

What You'll Bring
  • Deep understanding of AI/ML workloads, GPU economics, and model lifecycle
  • Ability to simplify complex technical concepts into clear pricing narratives
  • Highly collaborative; strong cross functional influence
  • Executive presence with strong storytelling and framing skills
  • Comfortable operating in ambiguity and driving clarity

Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
#LI-CP2
Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.