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

Pwc

Data Engineer - Senior Associate

San Diego, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Los Angeles, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

CodersData

Entry Level SAS Analyst

Glendale, CA · On-site

Entry Level SAS Analyst Coders Data is an incorporated consulting team of designers, developers, and engineers that builds harmonious human experience. Galvanized by our design-led innovation process ...

SynergisticIT

Python/R Developer

Palo Alto, CA · On-site

$58 - $79.50/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

SynergisticIT

entry level python developer

Fremont, CA · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who Should Apply Recent IT graduates looking to make their ...

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All JobsData & Analytics JobsEntry Level Data & Analytics JobsEntry Level Data & Analytics Jobs in California

Entry Level Data Analytics information

See California salary details

$32.6K

$80.5K

$138.2K

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

As of Jul 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 are the typical daily responsibilities of an Entry Level Data & Analytics professional?

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.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

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.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

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.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
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
Entry Level Java/C++ Developer

Entry Level Java/C++ Developer

SynergisticIT

Stockton, CA • On-site

Other

Posted 26 days ago

Job description

SYNERGISTICIT knows the job market is tough, with nearly 600,000 tech layoffs in the past two years. This has flooded the market with many laid-off tech workers competing with current jobseekers. For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong skills and knowledge of the latest technologies.
Since 2010, we've helped jobseekers stand out by preparing them with the skills and experience needed to excel in interviews and at work. At SynergisticIT, we don't just help you find a job-we help you build a career.
Open Positions We welcome candidates with all types of visas and U.S. citizens to apply.
We match clients with candidates who are ready to perform from day one. In today's economy, clients don't want to spend time and resources on training entry-level hires. That's why many experienced and new tech workers remain unemployed.
With remote work becoming common, clients can hire talent from anywhere. This makes it even more important for jobseekers to improve their skills and meet client expectations.
We understand the gap between what employers need and what jobseekers can offer. That's why we've helped thousands of candidates secure jobs with top companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
If you get emails from our skill enhancement team and are not interested, please ask to be removed from their list. Their database is shared with the client servicing team.
please check the below links to see success outcomes of our candidates
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have the right skills and industry experience, please apply!
Interview Preparation Visit this link to prepare for interviews: https://www.synergisticit.com/interview-questions/
Required Skills for Java/Software Programmers

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Project experience with the required skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with relevant technologies.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning roles: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require real-world experience and relevant skills, even for junior or entry-level positions. Additional skills and hands-on project work with clients are crucial for being selected.
  • If you lack the necessary skills or project experience, you can opt for skill enhancement programs to improve your qualifications.
  • No third-party candidates or c2c candidates, please.
  • Apply only through the job posting.
  • If you receive emails from our skill enhancement team and are not interested, please ask them to remove you from their list. Their database is shared with the client servicing team.

Apply