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Entry Level Data & Analytics Jobs in California (NOW HIRING)

Telecare

Data Analysis MRT - Mental Health 329

Stockton, CA · On-site

$23.69 - $29.28/hr

... The Data Analyst MRT s responsible for coordinating all Caminar, Avatar and Electronic Health ... Data Specialist, Entry Level, Medical Records, MRT If job posting references any sign-on bonus ...

JPL

Business Analyst (APX intern)

Pasadena, CA · On-site

This internship reinforces a student's academic foundations in business, data analytics, information systems, and technology through real-world applications while enabling them to build a portfolio ...

Accenture

Data Protection, A/SA-Evergreen

San Diego, CA · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analytics information

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$32.6K

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How much do entry level data & analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level data & analytics in California is $80,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $95,200.00 per year, depending on experience, location, and employer.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience; instead, they focus on foundational skills such as Excel, SQL, or basic data visualization tools. Candidates can improve their chances by completing relevant online courses, certifications, or projects to demonstrate their ability to work with data.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or R. Gaining proficiency with tools such as Excel, SQL, and data visualization software, along with obtaining relevant certifications or a degree in a related field, can improve job prospects. Entry-level roles often require a strong foundation in data concepts and the ability to interpret and communicate insights effectively.

What are some entry level data & analytics roles?

Entry level data and analytics roles include positions such as Data Analyst, Business Analyst, Data Technician, and Junior Data Scientist. These roles typically require skills in Excel, SQL, and basic statistical tools, and often serve as starting points for careers in data analysis and data management.

What are the most commonly searched types of Data & Analytics jobs in California?

The most popular types of Data & Analytics jobs in California are:

What are popular job titles related to Entry Level Data & Analytics jobs in California?

For Entry Level Data & Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Data & Analytics jobs in California look for?

The top searched job categories for Entry Level Data & Analytics jobs in California are:

What cities in California are hiring for Entry Level Data & Analytics jobs?

Cities in California with the most Entry Level Data & Analytics job openings:

Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $80,451 per year, or $38.7 per hour.

Deals - DTDS - Analytics Senior Associate - Summer/Fall 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

San Francisco, CA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Conduct complex data analysis to extract insights and support decision-making for mergers, acquisitions, and business transactions

  • Develop algorithms, data models, and data pipelines to support analytics initiatives and enhance data-driven strategies

  • Create data visualizations and dashboards to communicate key performance indicators and business metrics

Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Senior Associate

Job Description & Summary

The Opportunity


As a Deals - DTDS - Analytics - Senior Associate, you will engage with clients to provide strategic advice and support for mergers, acquisitions, and other business transactions. You will leverage your skills in data analysis to help clients make informed decisions and maximize value. Within our Advisory practice, you will be part of a team that guides clients towards sustainable growth and competitive advantage in today's dynamic market.


As a Senior Associate, you will focus on building meaningful client connections and developing a deeper understanding of the business context. You will navigate complex situations, anticipate client needs, and deliver quality solutions. Your role will involve mentoring junior team members and maintaining professional standards while using a broad range of methodologies and techniques to generate new ideas and solve problems.


In this role, you will apply analytics to contract data to identify risk, obligations, performance insights, and compliance indicators. You will be instrumental in driving the delivery of client solutions and contributing to the firm's overall business strategies. This position offers an opportunity to grow your personal brand and deepen your technical skills while working in a collaborative environment.


Responsibilities


- Conducting complex data analysis to extract meaningful insights and inform decision-making processes

- Developing algorithms and data models to support analytics initiatives and enhance data-driven strategies

- Integrating data from multiple sources to create unified views for comprehensive analysis

- Building and maintaining data pipelines to validate efficient data flow and accessibility

- Applying machine learning techniques to improve predictive modeling and analytics capabilities

- Utilizing Python for data manipulation and analysis to support client engagements

- Collaborating with teams to provide strategic advice and support for mergers, acquisitions, and business transactions

- Creating data visualizations and dashboards to communicate key performance indicators and business metrics

- Validating data integrity and security within analytics frameworks to maintain trust in data-driven insights

- Supporting contract analytics by identifying risks, obligations, and compliance indicators through data analysis


What You Must Have


- Currently pursuing or have completed a Master's of Business Administration degree

- At least 3 years of experience

- These client service Senior Associate positions are for job seekers who are in their final year of their MBA program at the time of application


What Sets You Apart


- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

- Utilizing Python for complex data analysis and algorithm development

- Applying machine learning techniques to enhance contract analytics

- Integrating big data solutions to support mergers and acquisitions

- Developing data pipelines for seamless data integration and modeling

- Navigating ambiguity in client engagements to deliver strategic insights

- Mentoring junior team members in data-driven decision-making processes

Travel Requirements

Up to 80%

Job Posting End Date

September 19, 2026The 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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