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Advertising Data Analyst Jobs in California (NOW HIRING)

Strong focus on advertising data, AdTech, or digital media content evaluation. Expert proficiency ... analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy ...

Data Analyst

Long Beach, CA · On-site

$90K/yr

Summary of Role/Position CarParts.com, Inc. is seeking an exceptional Data Analyst with strong ... advertising, pay, and other forms of compensation, training, and general treatment during ...

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

The Ideal Candidate You are a highly analytical problem solver who is excited about using data ... Familiarity with major advertising platforms and measurement ecosystems, including Meta, Google ...

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

Firstup has a wealth of data today -- spanning mobile and web experiences, sales conversion, payments, advertising, marketing, and more. We need an experienced data analyst who can help us organize ...

Digital Advertising Analyst

Culver City, CA · On-site

$64.35 - $71.50/hr

Compile and analyze cross-channel reporting data for paid social, display, video, and SEM campaigns, focusing on acquisition objectives. * Develop and communicate key insights and strategic ...

... advertising, or consumer product experiences. Strong SQL and Python skills , with experience ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

... advertising, or consumer product experiences. Strong SQL and Python skills , with experience ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

... advertising, or consumer product experiences. Strong SQL and Python skills , with experience ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

... advertising, or consumer product experiences. Strong SQL and Python skills , with experience ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

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Advertising Data Analyst information

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 cities in California are hiring for Advertising Data Analyst jobs? Cities in California with the most Advertising Data Analyst job openings:

Data Analyst

Centraprise

Santa Clara, CA • On-site

Full-time

Re-posted 5 days ago


Job description

• Analyze complex datasets (creative, targeting, performance, user experience) to refine criteria.
• Develop, propose, and justify new metrics for ad relevance, quality, and user satisfaction, incorporating rater feedback.
• Conduct data quality assessment on labeled sets to identify biases and refine the framework/training.
• Collaborate with Data Science/Engineering to prototype, validate, and launch new rating components impacting ML models.
• Data Analysis & Insights Analyze rating data and platform metrics to find trends, anomalies, and drivers of ad relevance/engagement.
Qualifications
Experience in a Data Analyst, Business Intelligence, or similar quantitative role.
Strong focus on advertising data, AdTech, or digital media content evaluation. Expert proficiency in SQL for complex data extraction, manipulation, and performance optimization.
Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib/Seaborn).
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