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Entry Level Marketing Data Analyst Jobs in California

Connexa Worx

Entry-Level Marketing Agent

Riverside, CA · On-site

As an Entry-Level Marketing Agent, you will be responsible for assisting in the creation and execution of marketing campaigns, analyzing market trends, and engaging with our target audience through ...

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Your role will be to work across the marketing organization and cross-functional teams (IT, sales ...

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Entry Level Marketing Data Analyst information

See California salary details

$13

$32

$60

How much do entry level marketing data analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level marketing data analyst in California is $32.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What does an entry level marketing data analyst do?

An Entry Level Marketing Data Analyst is responsible for collecting, analyzing, and interpreting data to help companies make informed marketing decisions. They typically work with large datasets, perform data cleaning, and use statistical tools to identify patterns and trends in customer behavior and campaign performance. Their insights help marketing teams optimize strategies, improve targeting, and measure the effectiveness of marketing efforts. Entry-level analysts often assist with creating reports and visualizations to communicate findings to stakeholders.

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

To thrive as an Entry Level Marketing Data Analyst, you need a solid understanding of statistics, data analysis, and marketing principles, often supported by a bachelor’s degree in marketing, business, or a related field. Familiarity with tools like Microsoft Excel, Google Analytics, and data visualization platforms such as Tableau is important, and knowledge of SQL or Python can be advantageous. Strong analytical thinking, attention to detail, and communication skills help you interpret data and convey insights to stakeholders effectively. These skills ensure accurate analysis and actionable recommendations that drive successful marketing strategies.

What are some common challenges faced by entry level marketing data analysts, and how can they be overcome?

Entry level marketing data analysts often encounter challenges such as interpreting large datasets, ensuring data accuracy, and translating technical findings into actionable marketing insights. It's important to develop strong analytical skills, attention to detail, and effective communication abilities to bridge the gap between data and business strategy. Collaborating closely with marketing and analytics teams, seeking mentorship, and utilizing data visualization tools can help overcome these challenges and support career growth in the field.

What is the difference between Entry Level Marketing Data Analyst vs Marketing Data Coordinator?

AspectEntry Level Marketing Data AnalystMarketing Data Coordinator
Required CredentialsBachelor's in Marketing, Data Analysis, or related field; Basic Excel and analytical skillsBachelor's in Marketing, Business, or related; Familiarity with data tools
Work EnvironmentOffice setting, collaborative teams, data-focused tasksOffice-based, supporting marketing campaigns and data management
Employer & Industry UsageMarketing agencies, corporate marketing departments, retailAdvertising firms, corporate marketing teams, non-profits
Search & Comparison IntentYes, often compared for entry-level roles in marketing dataCommonly compared but slightly more administrative

The Entry Level Marketing Data Analyst focuses on analyzing marketing data to generate insights, while the Marketing Data Coordinator handles data management and supports marketing campaigns. Both roles require similar educational backgrounds and are found in similar industries, but analysts emphasize data interpretation, whereas coordinators focus on data organization and support tasks.

What are the most commonly searched types of Marketing Data Analyst jobs in California?

The most popular types of Marketing Data Analyst jobs in California are:

What cities in California are hiring for Entry Level Marketing Data Analyst jobs?

Cities in California with the most Entry Level Marketing Data Analyst job openings:

Entry Level Marketing Data Analyst jobs near you
Infographic showing various Entry Level Marketing Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $67,590 per year, or $32.5 per hour.

Senior Marketing & Data Analyst

The Misch Group

Los Angeles, CA • On-site, Remote

$175K - $240K/yr

Full-time

Re-posted 23 days ago

Job description

Senior Marketing & Data Analyst
Department: Technology & Software
Employment Type: Full Time
Location: California
Compensation: $175,000 - $240,000 / year
Description
As a senior marketing data analyst, you will aggregate and perform analysis on demand generation and marketing data based on requests from project teams or senior leadership by integrating data from multiple data sources or functional areas. You will ensure data accuracy and integrity; updates data as needed and develop queries or reports to provide data for various analytical projects. This position is also responsible for interpreting key market data to identify business trends, conducting root cause analysis of business problems, and proposing areas for process improvement.
Key Responsibilities
  • Lead large, handles complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
  • Possesses comprehensive knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels.
  • Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events.
  • Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
  • Working with technical team on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage.
  • Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed.
  • Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking.
  • Provides coaching, and/or mentoring to other members of the group and act as a data analytics lead.

Skills, Knowledge and Expertise
  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years' experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • 1+ years' experience with data visualization tools such as Power BI, Tableau, or Looker.
  • 1+ years' experience utilizing SQL AND Excel for data manipulation and analysis.
  • 1+ years' experience with Python and/or R for statistical analysis and data modeling is a plus
  • 2+ year of hands-on experience with Data Analytics tools and services or like products/services.
  • Ability to foster teamwork, analytical thinking skills, statistical knowledge, technical expertise, computer skills, detail oriented, ability to meet deadlines, mathematical skills, project management skills.
  • Experience with Generative AI (GenAI) applications in a marketing context is a plus.

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