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

The successful candidate will bring experience in either drawing based software (AutoCAD, Revit, etc.) and/or data analysis/programming languages (Excel, VBA, Python, etc,). This position can be ...

Weekly Hours: 40 Job Summary: Entry-level position. Under immediate supervision: Performs overall ... Data Entry/Reconciliation: Accurately entering information into relevant systems. Balancing general ...

Central Services Clerk

Fairfield, CA · On-site

$16.90 - $18.98/hr

Weekly Hours: 40 Job Summary: Entry-level position. Under immediate supervision: Performs overall ... Data Entry/Reconciliation: Accurately entering information into relevant systems. Balancing general ...

Central Services Clerk

Fairfield, CA · On-site

$16.90 - $18.98/hr

Weekly Hours: 40 Job Summary: Entry-level position. Under immediate supervision: Performs overall ... Data Entry/Reconciliation: Accurately entering information into relevant systems. Balancing general ...

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Showing results 41-60

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 Aug 8, 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 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.

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 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 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:
Infographic showing various Entry Level Data Analyst job openings in Novato, CA as of August 2026, with employment types broken down into 57% Full Time, 22% Part Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,409 per year, or $38.7 per hour.

Assistant Clinical Research Coordinator

University of California San Francisco

San Francisco, CA

$28.50 - $38/hr

Full-time

Re-posted 26 days ago


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

228th of 616 rated colleges and universities


Job description

Under the supervision and guidance of the Principal Investigator and Clinical Research Supervisor at the UCSF Memory and Aging Center, the Assistant Clinical Research Coordinator (ACRC) will serve as a liaison between research participants and other faculty/study staff members to perform entry-level duties related to the support and coordination of clinical studies in the UCSF Alzheimer's Disease Research Center and associated projects.

The ACRC will be responsible for the support and coordination of various clinical research studies, including single- and multi-site clinical trials and observational studies in the field of neurodegenerative disease. This candidate will be responsible for understanding study protocols and the associated inclusion/exclusion eligibility criteria to assist in the screening and enrollment of participants. The ACRC will coordinate the scheduling of study visit events such as neurological exams, nursing interviews, biospecimen collection, and will work to retain research participants though the end of their research participation. The ACRC may also assist in acquiring MR images, in administering cognitive assessments, and in data entry and discrepancy resolution tasks in the study databases.  Additional administrative tasks may be assigned as needed to help design flow sheets, data forms, and other types of source documents.
 

Required Qualifications:

  • HS graduation and sufficient experience and demonstrated skills to successfully perform the assigned duties and responsibilities. 
  • Work experience or coursework in neuroscience or neurodegenerative disease
  • Ability to work well independently and as part of multiple teams
  • Proficiency in Microsoft Word, PowerPoint and Excel
  • Strong analytical and problem-solving skills
  • Ability to work flexibly and effectively in a fast-paced environment to meet project goals and deadlines

Preferred Qualifications:

  • Experience working closely with patients and their families, particularly within the geriatric population
  • Verifiable coursework in neuroanatomy
  • Familiarity with or certification in medical terminology
  • Excellent written and interpersonal communication when drafting study documents and engaging with colleagues, participants, and their families
  • Scientific writing experience, as demonstrated in previous research abstracts and/or publications
  • Knowledge of IRB protocols, Health Insurance Portability and Accountability Act (HIPAA) and Good Clinical Practice (GCP)

of time

Essential Function (Yes/No)

  

Key Responsibilities

(To be completed by Supervisor)

40%

YES

Patient Management and Study Coordination

  • Track patient referrals and recruitment across multiple studies
  • Track patient visits, tests, procedures and follow up according to protocol
  • Monitor, document and report adverse events to appropriate University and outside agencies
  • Coordinate specimen (blood and spinal fluid) collection
  • Attend weekly team meetings and patient reviews
  • Obtain insurance authorization for tests/procedures
  • In collaboration with team members, codes and documents toxicities and adverse events
  1.  

30%

YES

Data Management

  • Abstract clinical data from medical records
  • Enter data from neuropsychological tests and perform quality control prior to data entry
  • Enter data from research visits onto case report forms and electronic databases in a timely manner
  • Address and resolve data queries and data quality issues
  • Maintain patient charts and regulatory binders in preparation for monitoring visits by sponsors or regulatory agencies
  • Produce tables and/or flow charts to effectively present data and recruitment progress

20%

YES

Patient Registration

  • Work with investigators to verify medical history to ensure inclusion/exclusion criteria are met
  • Schedule patient visits, tests, procedures and follow-up according to protocol 
  • Registers and randomizes patients on trials and/or studies

5%

YES

Data Analysis

  • Draft field notes to summarize and report on data from patient interviews conducted by others
  • Collect enter and clean data into study databases, maintaining data quality
  • Assist with preparation of reports and tables
  • Assist with data analysis when reviewing interview transcripts using qualitative research methods 

5%

YES

Research-Related Tasks

  • Helps prepare protocols for study initiation
  • Help design flow sheets, data forms and source documents

100%

 (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

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