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Entry Level Data Analyst Jobs in Novato, CA (NOW HIRING)

Pathstone

Analyst, Investment Research

San Francisco, CA · On-site

$85K - $90K/yr

This is a 2-year, entry-level position with the potential for high performing analysts to expand ... data and portfolio characteristics. * Evaluate the market environment within asset classes (e.g ...

Socket.dev

Analyst, Investment Research

San Francisco, CA · On-site

$85 - $90/hr

This is a 2-year, entry-level position with the potential for high performing analysts to expand ... data and portfolio characteristics. * Evaluate the market environment within asset classes (e.g ...

Pathstone

Analyst, Investment Research

San Francisco, CA · On-site

$85K - $90K/yr

This is a 2-year, entry-level position with the potential for high performing analysts to expand ... data and portfolio characteristics. * Evaluate the market environment within asset classes (e.g ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Novato, CA

Entry Level Data Analyst information

See Novato, CA salary details

$15

$38

$72

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

As of Sep 3, 2026, the average hourly pay for entry level data analyst in Novato, CA is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $24.86 and $43.17 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

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What are the most commonly searched types of Data Analyst jobs in Novato, CA?

The most popular types of Data Analyst jobs in Novato, CA are:

What cities near Novato, CA are hiring for Entry Level Data Analyst jobs?

Cities near Novato, CA with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Novato, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $80,409 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 10 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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