1

Content Data Analyst Jobs in California (NOW HIRING)

Together, Hive's solutions are transforming content moderation, deepfake detection, brand ... Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ...

Together, Hive's solutions are transforming content moderation, deepfake detection, brand ... Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ...

... Cyber security, and enterprise content/data management services. We have developed our ... System Analyst Job location: Sacramento, CA Duration: 8 Months * Minimum five (5) years FTE ...

We are looking for a Content Specialist 1 to support our Content Management organization by ... In this role, you will collect, analyze, and document critical vehicle measurement data that ...

... Cyber security, and enterprise content/data management services. We have developed our ... Systems Analyst Location: Sacramento, CA * Minimum five (5) years FTE experience performing as ...

We are looking for a Content Specialist 1 to support our Content Management organization by ... In this role, you will collect, analyze, and document critical vehicle measurement data that ...

Analyze historical and forward-looking performance data to refine content valuation assumptions and benchmarks * Support slate-level and portfolio views by aggregating title economics into broader ...

Sr Data Engineer

Santa Monica, CA · On-site

$155K - $208K/yr

About The Role The Content Data Solutions team builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation ...

Sr Data Engineer

San Francisco, CA · On-site

$155K - $208K/yr

About The Role The Content Data Solutions team builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation ...

Analyst

Burbank, CA · On-site

$85.60 - $128.40/hr

... content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our ... The Analyst, Marketing Data Operations will provide day-to-day operational support for the ...

New

The Analyst, Marketing Data Operations will provide day-to-day operational support for the ... library of streaming content, including live and original channels. Paramount+, digital ...

Showing results 41-60

Content Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do content data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for content 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 content data analyst?

A Content Data Analyst is a professional who collects, analyzes, and interprets data related to digital content, such as articles, videos, and social media posts. They help organizations understand how content is performing, identify trends, and make data-driven decisions to improve engagement and reach. Their work often involves using analytics tools, reporting on key metrics, and collaborating with content creators and marketing teams to optimize content strategies.

How does a content data analyst typically collaborate with content creators and marketing teams?

Content Data Analysts work closely with content creators and marketing teams to provide actionable insights based on content performance metrics. They often analyze user engagement, conversion rates, and audience demographics, then translate this data into clear recommendations for optimizing future content strategies. Regular meetings and shared dashboards are common, fostering a collaborative environment where data-driven decisions help align creative efforts with business objectives.

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

To thrive as a Content Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in data science, statistics, or a related field. Familiarity with analytics tools such as Google Analytics, SQL, Excel, and data visualization platforms like Tableau or Power BI is common, along with experience in content management systems. Critical thinking, attention to detail, and effective communication are standout soft skills for translating data insights into actionable content strategies. These skills are crucial for driving data-informed decisions that optimize content performance and support organizational goals.

What is the difference between Content Data Analyst vs Content Marketing Analyst?

AspectContent Data AnalystContent Marketing Analyst
Primary FocusAnalyzing data related to content performance and user engagementDeveloping and executing content marketing strategies based on data insights
Skills & CertificationsData analysis, SQL, Excel, analytics toolsContent marketing, SEO, analytics, social media
Work EnvironmentData teams, marketing departments, digital agenciesMarketing teams, advertising agencies, digital media firms
Industry UsageUsed across digital media, publishing, e-commercePrimarily in marketing, advertising, and media sectors

While both roles involve data and content, the Content Data Analyst primarily focuses on analyzing content performance data to inform decisions, whereas the Content Marketing Analyst develops marketing strategies to promote content and increase engagement. Understanding these differences helps employers and professionals align skills and expectations effectively.

What job categories do people searching Content Data Analyst jobs in California look for?

The top searched job categories for Content Data Analyst jobs in California are:

Infographic showing various Content Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Operations Analyst

Hive

San Francisco, CA • On-site

$60K - $85K/yr

Full-time

Re-posted 25 days ago


Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, deepfake detection, brand protection, sponsorship measurement, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Data Operations Analyst
We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of our proprietary AI models leveraging our Hive Data platform to deliver high-quality training and testing datasets. Day to day, you will be managing multiple projects at a time with operational excellence by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the product development lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.
Responsibilities
  • Create, set up, and audit projects on the Hive Data platform to support internal Product and ML initiatives and power proprietary Hive Models
  • Own and execute projects by creatively identifying ways our data solutions can advance model performance, product capabilities, and internal objectives
  • Ensure projects run smoothly by managing timelines, identifying challenges, and proactively resolving issues while keeping stakeholders informed
  • Collaborate with Product and ML teams at the start of each project to understand scope, technical requirements, and success criteria
  • Collaborate with engineers in order to set up optimal pipelines and efficiently audit projects
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Bachelor's degree
  • 0-2 years of work experience
  • You are highly organized and detail-oriented; you handle multiple priorities without missing a beat
  • You have excellent written and verbal communications skills with an analytical mindset
  • You have demonstrated success in a competitive environment
  • You are highly self-motivated and ambitious in achieving goals
  • You are a strong team player, but can work and execute independently
  • You are driven and actively seek opportunities to contribute -- no one needs to push you to excel

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $60,000 - $85,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.