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Data Operations Analyst Jobs in California (NOW HIRING)

Operations Analyst

Los Angeles, CA · Remote

$75K - $100K/yr

Operations Analyst Location: Remote, US Compensation: $75,000 - $100,000 About the Role SprintRay ... This position is ideal for someone who enjoys working with data, building reports, improving ...

Operations Analyst

Los Angeles, CA · On-site +1

$75K - $100K/yr

Operations Analyst Location: Remote, US Compensation: $75,000 - $100,000 About the Role SprintRay ... This position is ideal for someone who enjoys working with data, building reports, improving ...

That is why we are seeking an experienced analytical leader with the skills to turn complex data into decisions, and decisions into measurable results. The Operations Analyst is a supervisory role ...

The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and ... Support data systems implementation and analytics work (e.g. Monte Carlo simulations, Power BI) in ...

The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and ... Support data systems implementation and analytics work (e.g. Monte Carlo simulations, Power BI) in ...

Operations Analyst

El Cajon, CA · On-site

$111K - $142K/yr

That is why we are seeking an experienced analytical leader with the skills to turn complex data into decisions, and decisions into measurable results. The Operations Analyst is a supervisory role ...

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

The ideal candidate is deeply data fluent, translates complex business questions into clear ... You'll report to the Senior Manager, Operations Analytics and work onsite 3+ days a week from our ...

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various ... and basic analysis. • Experience working with real-world datasets, including handling data ...

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Showing results 1-20

Data Operations Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data operations analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data operations 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 Data Operations Analysts?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

What are the key skills and qualifications needed to thrive as a Data Operations Analyst, and why are they important?

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a Data Operations Analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

What is the difference between Data Operations Analyst vs Data Analyst?

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Data Operations Analyst jobs in California? For Data Operations Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations Analyst jobs in California look for? The top searched job categories for Data Operations Analyst jobs in California are:
What cities in California are hiring for Data Operations Analyst jobs? Cities in California with the most Data Operations Analyst job openings:
Infographic showing various Data Operations Analyst job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Analyst, Data Operations

Starcom Mediavest Group Germany Gmbh

San Francisco, CA • On-site

$73K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 hours ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

Responsibilities
  • Analyzing data and consulting with subject matter experts to design and develop business rules for data processing
  • Setting up and/or maintaining dataflows in data wrangling tools like Alteryx or Google Dataprep
  • Creating and/or maintaining SQL scripts
  • Where applicable, working with data engineers to assure specifications are understood and followed
  • Being responsible for ensuring that campaign performance data is easily accessible and reliable
  • Monitoring, troubleshooting, and remediating data quality across marketing data systems ensuring full understanding of client deliverables
  • Designing and executing data quality checks
  • Keeping up to date on digital media operations - new partners, buy changes, etc.
  • Governing taxonomy additions, application, and use
  • Serving as a knowledge expert for media and site data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met
  • Evaluating opportunities for simplification and/or automation for reporting and various processes
  • Influencing teams towards data-informed decision-making and analytical thinking
  • Promoting a culture of process documentation
  • Providing guidance on process improvements and best practices for data management
  • Working closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data
  • Empowering your team to live the Digitas values to be open, bold, and curious
Qualifications
  • 3-4 years of applicable experience
  • A four-year college degree; advanced degree is a plus
  • Strong attention to detail
  • Excellent oral and written communication skills
  • Passion for problem solving
  • Passion for data automation and finding efficiencies in current processes
  • Passion for digital marketing, eagerness to learn in a constantly changing space, and a natural curiosity
  • Proficient with SQL and data visualization tools (i.e. Tableau, PowerBI, Google Data Studio)
  • Knowledge and experience with Python and/or R a plus
  • Experience with tools like Alteryx a plus
  • Experience working with Google Cloud and AWS a plus
  • Comfortable in a fast-paced and deadline-driven environment
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.

Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $73,150.00 - USD $112,554.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/1/2026.Employment Type: FULL_TIME