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Entry Level Tableau Jobs in California (NOW HIRING)

Oracle, Tableau, Salesforce, Clarity PPM & Power BI understanding preferred * Understanding of ... Reporting to Practice Manager, the Associate Operations Analyst is an entry-level role ideal for ...

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Entry Level Tableau information

What are the key skills and qualifications needed to thrive in the entry level Tableau position, and why are they important?

To thrive as an Entry Level Tableau professional, you need a solid understanding of data analysis, basic database concepts, and visualization techniques, usually supported by a bachelor’s degree in a related field or equivalent experience. Proficiency with Tableau Desktop, Excel, and possibly introductory knowledge of SQL or similar data query tools is often required, and Tableau certification can be an asset. Strong problem-solving skills, detail orientation, and effective communication help individuals excel in gathering requirements and presenting data insights to stakeholders. These skills are essential for transforming raw data into actionable business findings and supporting informed decision-making within an organization.

What types of projects or tasks can I expect to work on as an entry level Tableau professional?

As an Entry Level Tableau professional, you will typically work on tasks such as preparing datasets, building interactive dashboards, and assisting more senior analysts with routine reporting. Your day-to-day responsibilities might include gathering requirements from business users, cleaning and importing data, and visualizing trends to address specific business questions. You will often collaborate with other analysts, IT staff, and business stakeholders to ensure reports are accurate and meet organizational needs. Over time, you may also be given opportunities to lead more complex projects as your proficiency with Tableau and your understanding of business processes grow.

What is an entry level Tableau?

An Entry Level Tableau job is a position for individuals new to data visualization and analysis using Tableau. Responsibilities typically include creating dashboards, generating reports, and analyzing data to support decision-making. Employers seek candidates with basic Tableau skills, familiarity with databases, and a strong analytical mindset. This role provides a foundation for growth into data analyst or business intelligence positions.

What are the most commonly searched types of Tableau jobs in California? The most popular types of Tableau jobs in California are:
What cities in California are hiring for Entry Level Tableau jobs? Cities in California with the most Entry Level Tableau job openings:
Infographic showing various Entry Level Tableau job openings in California as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

San Francisco, CA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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