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Entry Level Data Analyst Jobs in Rohnert Park, CA

Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ... The candidates will have completed at least a basic entry-level college biology course and be ...

Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ... The candidates will have completed at least a basic entry-level college biology course and be ...

BCBA

Santa Rosa, CA

$90K - $105K/yr

Join a team of over 400 Board Certified Behavior Analysts, renowned for their expertise and ... Data-Driven Progress Tracking: Utilize cutting-edge data collection software to evaluate and update ...

BCBA

Santa Rosa, CA · On-site

$90K - $105K/yr

Join a team of over 400 Board Certified Behavior Analysts, renowned for their expertise and ... Data-Driven Progress Tracking: Utilize cutting-edge data collection software to evaluate and update ...

JUNIOR BUYER

Napa, CA · On-site

$22 - $28/hr

JUNIOR BUYER ID: 9372 Category: Entry Level Location: Napa State: CA Description JOB POSTING JUNIOR ... Collect & analyze data with the aim of solving practical problems within the business. * Advanced ...

JUNIOR BUYER ID: 9372 Category: Entry Level Location: Napa State: CA Description JOB POSTING JUNIOR ... Collect & analyze data with the aim of solving practical problems within the business. * Advanced ...

QUALITY CONTROL ID: 9380 Category: Entry Level Location: Napa State: CA Description JOB POSTING ... Document and control quality findings and data in electronic records. * Participate in the SOP ...

QUALITY CONTROL ID: 9380 Category: Entry Level Location: Napa State: CA Description JOB POSTING ... Document and control quality findings and data in electronic records. * Participate in the SOP ...

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Entry Level Data Analyst information

See Rohnert Park, CA salary details

$14

$36

$68

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

As of Jul 26, 2026, the average hourly pay for entry level data analyst in Rohnert Park, CA is $36.47, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $40.72 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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 the most commonly searched types of Data Analyst jobs in Rohnert Park, CA? The most popular types of Data Analyst jobs in Rohnert Park, CA are:
What cities near Rohnert Park, CA are hiring for Entry Level Data Analyst jobs? Cities near Rohnert Park, CA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Rohnert Park, CA as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $75,865 per year, or $36.5 per hour.
Chemistry Lab Technician / Analytical Chemist (Entry-Level)

Chemistry Lab Technician / Analytical Chemist (Entry-Level)

Intellectt INC

Santa Rosa, CA • On-site

$24 - $32.25/hr

Contractor

Posted 20 days ago


Job description

Role:  Lab Tech Sr. - 3rd Shift
Location: Santa Rosa, CA - 95403
Duration: 03 Months

Shift: 10 PM to 6:30 AM

Description:Confirmations Tech II Bachelor's degree in chemistry or related field required. Previously lab experience preferred.

What You'll Work On

• Read, understand, and follow written Standard Operating Procedures

• Correctly identify analyzed samples and verify the accuracy of sequence for each batch

• Process acquired instrument data and generate appropriate reports

• Conduct the first review of GC/MS and/or LC/MS/MS analytical data by each assay SOP

• Transcribe or upload results to the LIS for final review and certification

• Maintain proper and adequate Chain of Custody batch documentation

• Communication with supervisors and prompt escalation of emerging challenges

• Maintain and promote a safe healthful environment for self and co-workers Required Qualifications • A bachelor's degree in chemistry, analytical chemistry, or a related field

• At least one year of experience working in an analytical lab.

• The ability to work safely with biological specimens, chemicals, equipment, and instruments