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Entry Level Tableau Developer Jobs in California

Partner with the Data Engineering team to ensure consistency and reliability of data used across ... Exposure to business intelligence and reporting tools such as Power BI, Tableau, or SSRS

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Entry Level Tableau Developer information

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$10

$55

$76

How much do entry level tableau developer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for entry level tableau developer in California is $55.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $65.48 per hour, depending on experience, location, and employer.

What does an Entry Level Tableau Developer do?

An Entry Level Tableau Developer is responsible for creating, maintaining, and optimizing data visualizations and dashboards using Tableau software. They work with data analysts and business teams to understand data requirements and turn raw data into actionable insights. Their tasks often include cleaning and preparing data, designing interactive reports, and ensuring data accuracy. Entry level developers typically support more senior team members while learning best practices in data visualization and business intelligence.

What are some common challenges an Entry Level Tableau Developer might face when starting out, and how can they overcome them?

As an Entry Level Tableau Developer, you may encounter challenges such as understanding complex data sources, adapting to different business requirements, and ensuring data visualization best practices. It's common to feel overwhelmed by the variety of data formats and the need to communicate insights clearly. To overcome these challenges, actively seek feedback from senior team members, make use of Tableau’s extensive online resources, and frequently practice building dashboards based on real business scenarios. Collaborating closely with business analysts and data engineers will also help you understand the data context and improve your solutions.

What is the difference between Entry Level Tableau Developer vs Data Analyst?

AspectEntry Level Tableau DeveloperData Analyst
Required SkillsTableau, basic SQL, data visualizationExcel, SQL, data analysis, visualization
CertificationsTableau Desktop Specialist often preferredNone specific, often SQL or Excel certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious industries, analytics teams
Common TasksCreating dashboards, visual reports in TableauData cleaning, analysis, reporting

While both roles involve data visualization, an Entry Level Tableau Developer primarily focuses on creating dashboards and visual reports using Tableau, often requiring Tableau-specific certifications. A Data Analyst has a broader scope, including data cleaning, analysis, and reporting across various tools, with Tableau being one of several skills used. Both roles are common in business intelligence and analytics teams, but the Tableau Developer role is more specialized in visualization tools.

What Does an Entry-Level Tableau Developer Do?

An entry-level Tableau developer uses the Tableau software suite to organize and store data securely. Common duties of someone in this role are to help design and build a way to store and interpret data. Someone in this role may transfer information between databases, organize dashboards, and help build any customized software the company needs. This is a junior position, so an entry-level Tableau developer typically works on a team or under supervision. The primary qualifications for this role include a bachelor's degree in computer science, business intelligence, or a relevant field.

What are the key skills and qualifications needed to thrive as an Entry Level Tableau Developer, and why are they important?

To thrive as an Entry Level Tableau Developer, you need a good grasp of data analysis, visualization concepts, and basic SQL, often supported by a relevant degree or coursework in computer science, information systems, or analytics. Familiarity with Tableau Desktop, Tableau Server, and introductory experience with databases or data preparation tools is typically required, and Tableau certification is a plus. Strong problem-solving skills, attention to detail, and effective communication help you translate data into actionable insights for stakeholders. These skills and qualifications are crucial for creating impactful dashboards and supporting data-driven decisions within organizations.
What are the most commonly searched types of Tableau Developer jobs in California? The most popular types of Tableau Developer jobs in California are:
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What cities in California are hiring for Entry Level Tableau Developer jobs? Cities in California with the most Entry Level Tableau Developer job openings:
Data Analyst - Irvine, CA.

Data Analyst - Irvine, CA.

auction

Irvine, CA • On-site, Remote

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Job description

Data Analyst – Strategic Planning and Analytics

  • The Data Analyst supports reporting and analysis of Company and Client performance across Online Operations, Foreclosure/Trustee Operations, and Business Development teams. As a member of the Strategic Planning and Analytics team, this role is responsible for building, executing, and maintaining recurring and ad hoc reports while ensuring data accuracy and clarity.

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  • A critical component of this role is developing a strong understanding of the real estate and default servicing industries, including the operational, financial, and process drivers that impact Company and Client performance. The ideal candidate is curious, analytically minded, and motivated to learn how data is used to support decision-making in a complex, regulated business environment

Responsibilities/Duties:

  • Provide reporting and analytical support to operational teams, helping convey Company and Client performance through accurate and timely metrics, dashboards, and analyses
  • Build, execute, and maintain recurring and ad hoc reports used by internal stakeholders and external clients, ensuring data accuracy and consistency
  • Develop a strong working knowledge of the real estate and default servicing industries, including foreclosure processes, mortgage servicing workflows, and the operational drivers that impact performance metrics.
  • Assist in the design and enhancement of reports that meet defined business and operational requirements, incorporating feedback from stakeholders 
  • Execute and maintain reporting solutions using existing tools and queries, including AWS Athena, Excel, Power BI, and other reporting platforms.
  • Support the documentation, validation, and ongoing maintenance of datasets and reporting tables used for management and operational reporting. Identify, investigate, and help remediate data integrity issues prior to report delivery, escalating concerns as appropriate 
  • Adhere to defined reporting schedules and deliverables while remaining flexible to changing business priorities and urgent requests 
  • Partner with the Data Engineering team to ensure consistency and reliability of data used across reports and functional areas
  • Fulfill ad hoc analytical requests for business leaders, providing clear explanations of findings and limitations
  • Maintain clear and proactive communication with business partners regarding work status, priorities, and expected delivery timelines 
  • Support the development of new business metrics and assist with exploratory, testandcontrol, or validation analyses as needed
 

Knowledge, Skills and Abilities

Proficient in the Microsoft Office Suite, with advanced Microsoft Excel skills (formulas, pivot tables, data validation) required

  • Foundational to intermediate SQL skills, including the ability to write, understand, and modify queries; experience with AWS Athena is preferred 
  • Exposure to business intelligence and reporting tools such as Power BI, Tableau, or SSRS 
  • Demonstrates a strong interest in learning the real estate and default servicing industries, including the ability to translate operational processes into meaningful analytical insights 
  • Basic understanding of data warehousing and data lake concepts; familiarity with enterprise data warehouse structures (e.g., star schema) is a plus
  • Strong analytical, problemsolving, and criticalthinking skills, with the ability to interpret data and identify trends or anomalies 
  • Demonstrates strong attention to detail and a commitment to data accuracy and quality prior to report delivery
  • Effective timemanagement and organizational skills, with the ability to manage multiple tasks and competing priorities in a fastpaced environment 
  • Comfortable collaborating with crossfunctional partners and communicating analytical findings to stakeholders at varying levels of the organization 
  • Strong written and verbal communication skills, with the ability to explain data and results clearly and concisely
  • Demonstrates curiosity, adaptability, and a willingness to learn new tools, concepts, and business processes

Education/Experience

  • Bachelor’s degree in Economics, Finance, Information Technology, Statistics, Mathematics, or another quantitative discipline required; equivalent practical experience may be considered 
  • Entrylevel candidates are encouraged to apply; internship, coop, academic project, or early professional experience in data analysis, reporting, business analytics, or a related field is a plus 
  • Prior experience in real estate, mortgage servicing, default servicing, foreclosure, or financial services is preferred but not required 
  • Demonstrated interest in learning the real estate and default servicing industries, including a willingness to develop an understanding of industry terminology, workflows, and performance drivers through onthejob experience 
  • Experience working with data in an academic, internship, or professional setting—such as analyzing datasets, building reports, or supporting business decisions—is highly desirable.