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Data Support Jobs in California (NOW HIRING)

Data Support is a global team that turns The Trade Desk's proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power ...

As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us ...

Data Analyst

Los Angeles, CA · On-site

$32/hr

Support business teams with data-driven insights Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or related field * 1-3 years of experience in data analysis ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Support: * Collaborate closely with company teams to understand their data needs and develop tailored data solutions. * Design and implement data workflows to support machine learning workflows

Data & AI Specialist

San Francisco, CA · On-site

$75K - $85K/yr

You'll take on both proactive and reactive data and technical support challenges, becoming the go-to problem-solver our customers rely on. If you want hands-on experience with real data, direct ...

Support Data Strategy Execution: Assist in translating research roadmaps into actionable data sourcing plans, helping to track and fill technical data gaps identified by algorithm leaders.

Data & AI Specialist

San Francisco, CA · On-site

$75K - $85K/yr

You'll take on both proactive and reactive data and technical support challenges, becoming the go-to problem-solver our customers rely on. If you want hands-on experience with real data, direct ...

Data Partnerships Specialist

Palo Alto, CA · On-site

$82K - $155K/yr

Support Data Strategy Execution: Assist in translating research roadmaps into actionable data sourcing plans, helping to track and fill technical data gaps identified by algorithm leaders.

Data & AI Specialist

San Francisco, CA · On-site

$75K - $85K/yr

You'll take on both proactive and reactive data and technical support challenges, becoming the go-to problem-solver our customers rely on. If you want hands-on experience with real data, direct ...

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Showing results 1-20

Data Support information

See California salary details

$27.6K

$72K

$86.8K

How much do data support jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data support in California is $71,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $85,900.00 per year, depending on experience, location, and employer.

What is a data support?

Data Support roles involve assisting with the management, organization, and maintenance of data within an organization. Professionals in this position help ensure data accuracy, integrity, and accessibility for teams that rely on up-to-date and accurate information. They may be responsible for data entry, troubleshooting data issues, supporting data analysis, and adhering to data privacy and security standards. Data Support staff often work closely with IT, analysts, and other departments to resolve data-related challenges efficiently.

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

To thrive as a Data Support professional, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information technology or a related field. Familiarity with database systems (such as SQL), spreadsheet tools (like Excel), and data visualization platforms are typically required, along with occasional certifications in data analytics. Excellent problem-solving abilities, effective communication, and a customer-focused mindset are important soft skills in this role. These competencies ensure accurate data handling, efficient support to end-users, and the reliability of business decision-making processes.

What are some common challenges faced by data support professionals, and how can they be addressed?

Data Support professionals often encounter challenges such as managing large volumes of data, ensuring data accuracy, and troubleshooting technical issues quickly. They may also need to adapt to evolving data tools and respond to urgent requests from multiple teams. To address these challenges, staying organized, developing strong problem-solving skills, and maintaining open communication with stakeholders are essential. Continuous training and collaboration with IT and data teams can also help Data Support professionals stay effective and up-to-date.

What cities in California are hiring for Data Support jobs?

Cities in California with the most Data Support job openings:

Infographic showing various Data Support job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $71,991 per year, or $34.6 per hour.

Data Support Analyst I

Ventura, CA

The Trade Desk
Software Development • 1 - 5K employees

Full-time

Posted 28 days ago


Job description

Data Support is a global team that turns The Trade Desk's proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power campaigns reaching millions of consumers across the open internet - and the data decisions we support shape how some of the world's largest brands reach their audiences. We maintain the health and integrity of TTD's data marketplace - ensuring data is accurate, accessible, and reliable - and we partner with internal and external stakeholders to solve complex data challenges.

We operate as a Dual Impact Team: our time is split between client-facing service - proactive and reactive client work - and internal enablement, including building tools, improving processes, and supporting stakeholders across the business. We thrive when we learn fast, remain humble, and hold ourselves to the highest standard of both technical excellence and premium service delivery.

We are part of a multinational team within the world's leading, independent buying platform for digital advertising, with regional teams across North America, APAC, and EMEA.

What you'll do:

  • Build custom segments for The Trade Desk's clients for use within our data management platform, ensuring accuracy, data quality, and policy compliance throughout.
  • Spend meaningful time writing and running SQL to extract, analyze, and validate data across TTD data systems - combining large data sets, interpreting results, and turning findings into optimization strategies and custom segment solutions.
  • QA segment builds and data outputs for accuracy and compliance before delivery; troubleshoot technical issues independently and document findings clearly, escalating with full context when needed.
  • Evaluate each request against TTD ad policy standards - including sensitive categories, advertiser verticals, and geographic requirements - and escalate anything ambiguous before proceeding.
  • Build, maintain, and improve automations, scripts, and workflows that support segment creation and data operations - owning accuracy, checks and balances, and process efficiency across cross-functional and cross-regional teams.
  • Act as a trusted advisor and primary point of contact for stakeholders - guiding segment strategy, data best practices, and audience design, communicating proactively, and delivering high-ownership service from intake to completion.
  • Own client and internal requests end-to-end in Salesforce - from intake through resolution - troubleshooting and escalating when needed while maintaining documentation clear enough for any team member to pick up at any point.
  • Work daily alongside teammates and stakeholders across North America, APAC, and EMEA - adapting your communication style to different audiences and levels of technical expertise, coordinating cross-regional handoffs, and building trusted working relationships across cultures and time zones.
  • Contribute to the team's knowledge base through accurate documentation of team systems, processes, and domain knowledge - and serve as a subject matter expert for data analysis methods and tools.
  • Act as a connector between Data Support and other TTD teams to resolve data and segment-related issues, and contribute to internal enablement work - process improvement, tooling, and cross-functional projects - as business needs evolve.

Who you are:

  • Bachelor's degree or relevant work experience (0-3 years); a background in data, analytics, marketing technology, or a related field is a plus.
  • Brings a collaborative and energetic mindset to the position
  • Proficient in Excel and MS Office, including pivot tables, charts, and manipulation of large data sets.
  • Able to write and run complex SQL queries, including multiple joins, temp tables, CTEs, CASE WHEN logic, and nested queries.
  • Comfortable engaging with stakeholders at varying levels of technical expertise - you can translate complexity into clarity.
  • Collaborative and effective cross-functionally in a fast-paced environment, with a track record of building strong working relationships at all levels of the organization.
  • Detail-oriented and precise, with a strong commitment to data handling ethics and consumer privacy.
  • Skilled at solving complex technical problems creatively while anticipating stakeholder needs and consistently meeting or exceeding expectations.
  • Comfortable with ambiguity and change - you approach shifting requirements as opportunities rather than obstacles.
  • Comfortable adopting and adapting to new technologies, tools, and coding environments - including platforms like Databricks, Python, and AI-assisted tooling (Copilot, Claude, etc.) - as the tech stack and industry continue to evolve.
  • Strong time manager who can work across functions in a dynamic, solution-oriented environment while meeting deadlines.
  • Self-motivated and innovative; comfortable working independently, but an excellent team player with a growth mindset and a desire to make those around you better. #LI-LM2