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Data Visualization Consultant Jobs in California

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

... consulting * Demonstrable experience using statistical modeling on datasets to solve complex ... Experience with data visualization tools (preferably Tableau and Power BI) * Bachelor's degree in a ...

Adidev Technologies is a growing software consulting company that is constantly expanding. As we ... Strong skills in scientific data analyses, modeling, visualization and communication of results.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we ... Strong skills in scientific data analyses, modeling, visualization and communication of results.

Experience in Data Visualization Tools - Tableau. * Familiarity with data integration and ETL tools ... AI ML - Intermediate Donato Technologies Inc. is a trusted IT staffing, consulting, and software ...

Showing results 21-40

Data Visualization Consultant information

See California salary details

$11

$44

$77

How much do data visualization consultant jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data visualization consultant in California is $44.31, according to ZipRecruiter salary data. Most workers in this role earn between $29.90 and $59.33 per hour, depending on experience, location, and employer.

What does a data visualization consultant do?

A Data Visualization Consultant helps organizations transform complex data into clear, insightful, and visually appealing representations. They use tools like Tableau, Power BI, or Python libraries to create dashboards and reports that aid decision-making. Their role often involves understanding business needs, cleaning and structuring data, and selecting the best visualization techniques. By making data more accessible, they help stakeholders identify trends, patterns, and opportunities efficiently.

Does data visualization consultant pay well?

Data visualization consultants typically earn competitive salaries that vary based on experience, location, and industry. Professionals with strong skills in tools like Tableau, Power BI, or D3.js and relevant certifications tend to command higher pay. Overall, the role offers good compensation potential for those with specialized expertise.

Is data visualization a good career?

Data visualization is a valuable career for those interested in analyzing and presenting data insights using tools like Tableau, Power BI, or Python. It offers opportunities across industries such as finance, healthcare, and technology, with demand driven by the need for clear data communication and decision-making. Success in this field often requires strong analytical skills, knowledge of data tools, and the ability to interpret complex information visually.

What are the typical responsibilities and team dynamics for a data visualization consultant?

As a Data Visualization Consultant, your daily work often includes collaborating with data analysts, business stakeholders, and IT teams to gather requirements, design impactful dashboards, and deliver insights. You may split your time between hands-on development of visualization solutions, client meetings to interpret needs, and workshops to guide users in understanding and utilizing dashboard features. The role is both technical and consultative, requiring you to tailor visualizations to different organizational goals while ensuring accuracy and clarity. Team structures can vary, but most consultants find themselves working in cross-functional environments that encourage creative problem solving and continual professional growth.

What are the key skills and qualifications needed to thrive as a data visualization consultant?

To thrive as a Data Visualization Consultant, proficiency in data analysis, statistics, and visual storytelling is essential, often supported by a background in data science, computer science, or a related field. Familiarity with visualization tools like Tableau, Power BI, D3.js, and certifications such as Tableau Desktop Specialist or Microsoft Certified: Data Analyst are commonly required. Strong communication, client management, and problem-solving abilities help consultants translate complex data into actionable insights for diverse audiences. Mastery of these skills ensures effective interpretation and presentation of data, driving better business decisions and client satisfaction.

What are the most commonly searched types of Data Visualization Consultant jobs in California? The most popular types of Data Visualization Consultant jobs in California are:
What job categories do people searching Data Visualization Consultant jobs in California look for? The top searched job categories for Data Visualization Consultant jobs in California are:
Infographic showing various Data Visualization Consultant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,158 per year, or $44.3 per hour.

Research Data Analyst 3 - Oakland, CA, Job ID 87572

University of California Agriculture and Natural Resources

Oakland, CA โ€ข On-site

$93K - $132K/yr

Full-time

Posted 21 days ago


Job description

Job Description
This position requires the ability to independently perform data analysis, data management, data systems development, data visualization, and reporting of organizational, policy and environmental data and individual level data for studies of nutrition, physical activity and obesity. The position also requires the ability to work effectively with multiple investigators and manage competing project demands, and to provide project management as needed.
Department Summary:
The Nutrition Policy Institute (NPI) is a statewide institute within the Division of Agriculture and Natural Resources at the University of California. NPI conducts and translates policy-relevant research to transform environments for healthy children, families, and communities. We are home to approximately 30-40 academic, staff and student employees located in the UCOP offices in Oakland and other locations.
This position is a career appointment that is 100% fixed.
The home department is the Nutrition Policy Institute (NPI). While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University.
Pay Scale: $93,345.00/year to $132,720.00/year
Job Posting Close Date:
This job is open until filled. The first application review date will be 08/03/2026.
Key Responsibilities:
30%
Data collection: Prepare training and quality control protocols for quantitative and qualitative data collection, including with human subjects. Assist with development and implementation of survey instruments and other data collection tools, including programming online data collection instruments using software such as Qualtrics. Some data entry may be required. Collect data in the field (e.g., schools, childcare WIC clinics, participants' homes) and supervise and train others to collect data.
25%
Data management: Creates, manages and maintains project databases and organizational data systems. Checks data quality, cleans and records data, geocodes data, and creates derived datasets. Creates standard analytic data files and documents program codes and procedures for use by research team. Develops systems for organizing data to analyze.
25%
Data analysis: Performs statistical analysis for individual research projects. Selects appropriate test formulas and performs computations such as multiple and partial correlation coefficients, linear and logistic regression, multilevel modeling, causal analyses, spatial analyses, and determines sampling and reporting procedures. Analyzes research data using statistical and geospatial software such as SAS, R, Stata, and/or ArcGIS. Prepares and summarizes preliminary and final data.
10%
Data reporting/presentation: Prepares reports and/or analysis of research findings for internal and external dissemination and written analytical sections for peer-reviewed papers, reports and grant proposals. Creates data visualizations including online dashboards, infographics, maps, tables and charts. Creates queries and extracts data across multiple systems for analysis and interpretation. Develops databases using querying and coding languages such as SQL and Python. Utilizes data visualization platforms (e.g., Tableau) to create online dashboards.
5%
Design: In consultation with PI and research teams, designs research and evaluation studies and their data collection and analysis plans, including sampling, survey instruments, data entry programs, and results reports.
5%
Project management: Develops workplans and timelines, organizes and chairs meetings/ consultations with team members, ensures data analysis and reporting are completed on time. As needed, assists with budget management, students, administrative staff and/or lower-level analysts to enter data and conduct analyses, and serves as liaison to subcontractors or other analysis teams.
Requirements:
  • Bachelor's degree in related area and / or equivalent experience / training.
  • At least 3 years of experience conducting a combination of 1) primary data collection in schools and/or with children/students and 2) management, statistical analysis and system programming using SAS, Stata, SPSS, R or other statistical software to conduct analyses including multivariable statistical analyses (e.g., ANOVA, regression, hierarchical modeling), causal modeling, and conducting spatial analysis and geocoding using ArcGIS or other geospatial software.
  • Demonstrable skill and experience with developing data collection protocols, infographics, data visualization and presenting data in accessible formats.
  • Experience conducting primary qualitative data collection (e.g., interviews or focus groups) and coding/analyzing qualitative data using a software program (e.g., Dedoose, Nvivo, AtlasTI)
  • Training and/or experience with managing a web-based interface being fed by multiple databases.
  • Experience in database design, creating and managing data files and data security measures.
  • Demonstrated skill in data analysis and consultation.
  • Demonstrated commitment to working with a diversity of research and community partners, including educators, medical doctors, legislators, non-profits, parents, and youth.
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing. Ability to communicate effectively with both statisticians and non-statisticians.
  • Strong organizational, written and oral communication and critical thinking skills and attention to detail. Ability to prioritize deadlines and project management skills.
  • Knowledge of nutrition, physical activity and obesity measurement and its analysis.

Preferred Skills:
  • Master's in related field, including biostatistics or public health, with significant course work on analysis and data visualization.
  • Familiarity with federal food and poverty programs, such as SNAP, WIC, CACFP and school meals.
  • Understanding of how commitment to diversity, equity, and inclusion is implemented in research and evaluation.
  • Fluency in a language other than English, both written and verbal.
  • Familiarity with programming languages such as Python and Java.

Special Conditions of Employment:
  • Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies.
  • The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities.
  • As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited.
  • As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
  • Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.
    1. "Misconduct" means any violation of the policies governing employee conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
      • UC Sexual Violence and Sexual Harassment Policy
      • UC Anti-Discrimination Policy
      • Abusive Conduct in the Workplace

About Us
The University of California Agriculture and Natural Resources (UC ANR) brings the power of University of California research and education to all 58 California counties. Through research and extension in agriculture, natural resources, economic growth, nutrition, and youth development, we work to improve the life of every Californian.
Collaborating to solve problems.
Connecting to serve communities.
For over 100 years, our advisors, specialists, faculty and staff have been committed to connecting Californians to their land grant university. We are highly collaborative and mission-driven to promote the health and well-being of people and places across the state. We are also trusted partners with hundreds of community organizations in addressing California's most pressing challenges.
It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.
How to Apply
Internal Candidates*: To apply as an internal UC ANR employee, please go to:
https://ucphrprdpub.universityofcalifornia.edu/psp/ucphrprd/EMPLOYEE/HRMS/c/HRS_HRAM_EMP_FL.HRS_CG_SEARCH_FL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Employee&SiteId=18&JobOpeningId=87572&PostingSeq=1
External Candidates*: You must register to apply for a job or create a job search agent profile. Click the 'Register Now' link and follow the steps to create the account. The system will not prompt you to register until you try to apply for a job online.
*Employment applications must be submitted online through our careers site. Please note, we do not accept resumes or applications by email or on paper.