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Advertising Data Analyst Jobs in California (NOW HIRING)

Discord

Senior Data Engineer, Ads

San Francisco, CA · On-site

$124K - $169K/yr

... analytical tools. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results. This role ...

RZR Global Inc.

Analyst- SF

San Francisco, CA · On-site

$85K - $140K/yr

Role Overview As an Analyst at RZR Global, Inc., you will play a critical role in driving data-driven decision-making processes and optimizing our advertising strategies. You will work closely with ...

RZR Global Inc.

Analyst- SF

San Francisco, CA · On-site

$85K - $140K/yr

Role Overview As an Analyst at RZR Global, Inc., you will play a critical role in driving data-driven decision-making processes and optimizing our advertising strategies. You will work closely with ...

Ingram Micro

Associate Marketing Data Analyst

Irvine, CA · On-site

$54K - $87K/yr

The Associate Marketing Data Analyst independently delivers marketing reporting, analysis, and ... Experience with CRM, marketing automation, web analytics, CDP, or digital advertising platforms.

Ingrammicro

Associate Marketing Data Analyst

Irvine, CA

$54K - $87K/yr

The Associate Marketing Data Analyst independently delivers marketing reporting, analysis, and ... Experience with CRM, marketing automation, web analytics, CDP, or digital advertising platforms.

New

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data ...

JAMS, Inc.

Advertising Performance Manager

Irvine, CA · Hybrid

A Brief Overview The Advertising Performance Manager ("APFM") leads the execution and performance ... Ability to analyze performance data and translate it into clear insights and recommendations ...

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Advertising Data Analyst information

What is data analytics in advertising?

Data analytics in advertising involves collecting, processing, and analyzing data from marketing campaigns to measure performance, understand audience behavior, and optimize strategies. Advertising Data Analysts use tools like Excel, SQL, and analytics platforms to interpret data and support data-driven decision-making.

What does an advertising data analyst do?

An Advertising Data Analyst is responsible for collecting, analyzing, and interpreting data related to advertising campaigns. They help organizations understand the performance of their ads by identifying trends, measuring key metrics, and generating insights to optimize advertising strategies. Their work involves using data analysis tools, creating reports, and collaborating with marketing teams to improve campaign effectiveness and maximize ROI.

How does an advertising data analyst typically collaborate with creative and account teams to improve campaign performance?

An Advertising Data Analyst works closely with both creative and account teams by providing actionable insights derived from campaign data. They regularly share performance metrics, identify trends, and highlight areas for optimization, enabling creatives to refine messaging and account managers to adjust strategy. This collaborative approach ensures campaigns are data-driven, effective, and tailored to client objectives. Strong communication skills are essential, as analysts must translate complex analytics into clear recommendations for non-technical team members.

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

To thrive as an Advertising Data Analyst, you need strong analytical skills, expertise in statistics, and experience with digital marketing metrics, usually supported by a degree in marketing, statistics, or a related field. Proficiency in data analysis tools such as Google Analytics, SQL, Excel, and visualization platforms like Tableau is typically required. Critical thinking, attention to detail, and effective communication help analysts translate complex data into actionable marketing insights. These skills are vital to drive data-informed advertising strategies and optimize campaign performance.
What are popular job titles related to Advertising Data Analyst jobs in California? For Advertising Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Advertising Data Analyst jobs in California look for? The top searched job categories for Advertising Data Analyst jobs in California are:
What cities in California are hiring for Advertising Data Analyst jobs? Cities in California with the most Advertising Data Analyst job openings:
Advertising Data Analyst jobs near you

Senior Data Engineer, Ads

Discord

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 19 days ago

Job description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.
Discord seeks a seasoned Data Engineer, focusing on our advertising product data. In this role, you will drive technical vision and strategy for ads data engineering in support of our ML initiatives while building and maintaining sophisticated data pipelines, datasets, and analytical tools. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results.
This role works heavily with Data Science, Machine Learning, and product. If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move!
What You'll Be Doing
  • Design and own core ads data models: fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases.
  • Build and maintain the ML data that enables ads ranking, delivery, and targeting - including feature development, label generation workflows, intra-day training, and ML input observability to catch data quality issues before they degrade model performance.
  • Build conversion measurement pipelines and integrate third-party attribution data - including Conversion Attribution and Mobile Measurement Partner (MMP) integrations (Adjust, AppsFlyer, Singular) - ensuring attribution accuracy and data parity across measurement surfaces.
  • Build batch and near real-time pipeline infrastructure across the ads ecosystem - pushing toward lower-latency data for ML and reporting use cases on our BigQuery + dbt + Dagster stack. Partnering with Data Platform on launch and success of new data processing engines to support low latency requirements..
  • Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale.
  • Proactively identify foundational data infrastructure gaps - including those with broad implications across ML, measurement, and reporting - and design scalable, canonical solutions that multiple teams can depend on.
  • Build systems from scratch in a rapidly evolving, greenfield advertising data environment - making sound architectural decisions with incomplete information and balancing short-term delivery with long-term infrastructure investment.
  • Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through clear narratives that connect data infrastructure decisions to business outcomes and revenue impact.
  • Mentor engineers through technical challenges, code and design reviews, and ownership of complex projects - contributing to the culture and engineering standards of the Data Engineering team team.

What you should have
  • 5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (ad delivery, ranking, targeting, identity, conversion measurement).
  • Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure. Experience with Conversion Data and APIs, MMP integrations, or identity graph infrastructure is strongly valued.
  • Demonstrated experience building data models in a greenfield or 0-to-1 environment where requirements change frequently, documentation is sparse, and architectural decisions are made with incomplete information.
  • Expert-level SQL and Python. Strong ability to design performant, maintainable data models and write production-quality pipeline code.
  • Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets (billions+ rows) - including quality frameworks designed for ML inputs.
  • Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders.
  • Collaborative mindset and strong cross-functional instincts with experience building trusted working relationships with Data Science, ML Engineering, and Product teams.

Bonus Points
  • Passion for Discord or gaming communities
  • Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar)
  • Experience with designing data architecture to power a variety of use cases, including reporting (internal and external), adhoc analysis, experimentation.
  • Working with Data AI tools to establish greater self service utility for your customers.
  • Experience building near real-time or streaming pipeline infrastructure (e.g., Kafka, Spark Streaming, or equivalent) in addition to batch processing is preferred.

The US base salary range for this full-time position is $220,500 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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