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Entry Level Biotech Data Analyst Jobs in California

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

City of Roseville, CA

Database Analyst 1500

Roseville, CA · On-site

$37.45 - $57.96/hr

In this role, you will manage, optimize, and protect agency data while partnering with departments ... DISTINGUISHING CHARACTERISTICS Database Analyst I - This is the entry level class in the Database ...

CodersData LLC

Entry Level SAS Analyst

Glendale, CA · On-site

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

CodersData, LLC

Entry Level SAS Analyst

Glendale, CA

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

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Entry Level Biotech Data Analyst information

What is the difference between Entry Level Biotech Data Analyst vs Entry Level Bioinformatics Technician?

AspectEntry Level Biotech Data AnalystEntry Level Bioinformatics Technician
Required CredentialsBachelor's in Biology, Bioinformatics, or related field; basic data analysis skillsBachelor's in Biology, Bioinformatics, or related field; familiarity with bioinformatics tools
Work EnvironmentLaboratories, research facilities, data analysis teamsLaboratories, computational environments, research settings
Employer & Industry UsageBiotech companies, pharmaceutical firms, research institutionsResearch labs, biotech firms, academic institutions

Entry Level Biotech Data Analysts focus on analyzing biological data using statistical tools, while Entry Level Bioinformatics Technicians assist with data processing and managing bioinformatics software. Both roles require similar educational backgrounds and are common in biotech and research settings, but Data Analysts emphasize data interpretation, whereas Technicians focus on data management and technical support.

What are the most commonly searched types of Biotech Data Analyst jobs in California? The most popular types of Biotech Data Analyst jobs in California are:
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Entry Level Biotech Data Analyst jobs near you
Infographic showing various Entry Level Biotech Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Entry-Level Data Analyst (Fully Remote + Bonus)

CMH Forklift

Los Angeles, CA • Remote

$28.45 - $38.90/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

💼 Full-Time | Remote | Career Growth | Competitive Pay

Paid Training • Performance Bonuses • Professional Development • Benefits

Build Your Career in Data Analytics

Are you analytical, curious, and comfortable working with numbers and information? We're looking for a motivated Entry-Level Data Analyst to join our team and help turn everyday business data into useful insights.

This is an excellent opportunity for someone starting a career in data analytics, business operations, finance, customer insights, or reporting. Paid training is provided, so candidates who demonstrate strong analytical thinking, attention to detail, and a willingness to learn are encouraged to apply.

You'll work with spreadsheets, databases, reports, and business information while collaborating with different teams to help identify trends, improve processes, and support better business decisions.

Benefits Perks

  • Paid training and onboarding

  • Competitive compensation

  • Performance-based bonus opportunities

  • Paid Time Off (PTO)

  • Paid company holidays

  • Health, dental, and vision benefits for eligible employees

  • 401(k) retirement plan where applicable

  • Professional development opportunities

  • Employee recognition programs

  • Career advancement opportunities

What You'll Do

  • Collect, organize, and maintain business data from multiple sources.

  • Enter, verify, and clean data to ensure accuracy and consistency.

  • Analyze datasets to identify trends, patterns, and potential issues.

  • Prepare recurring reports, summaries, and dashboards.

  • Use Microsoft Excel and other business tools to organize and analyze information.

  • Track key performance indicators (KPIs) and operational metrics.

  • Assist with data quality checks and resolve discrepancies.

  • Support forecasting, reporting, and business-performance projects.

  • Work with internal teams to understand reporting requirements.

  • Present findings and observations in clear, easy-to-understand formats.

  • Maintain confidentiality when handling company and customer information.

  • Assist with other analytical and administrative projects as assigned.

Required

  • High school diploma or equivalent.

  • Strong attention to detail.

  • Comfortable working with numbers and information.

  • Good written and verbal communication skills.

  • Basic Microsoft Excel or spreadsheet knowledge.

  • Strong organizational and time-management skills.

  • Ability to learn new software and systems quickly.

  • Reliable, professional, and able to meet deadlines.

Preferred — Not Required

  • Associate's or Bachelor's degree in Data Analytics, Business, Finance, Statistics, Computer Science, Economics, or a related field.

  • Experience with Excel formulas, PivotTables, or data visualization.

  • Familiarity with SQL, Power BI, Tableau, or similar analytics tools.

  • Previous internship, administrative, customer service, finance, or data-entry experience.

Don't have every preferred qualification? Apply anyway. Training is provided.

Paid Training Development

Your training may include:

  • Data entry and data-quality procedures

  • Microsoft Excel and spreadsheet analysis

  • Reporting and dashboard fundamentals

  • CRM and ERP systems

  • Business intelligence fundamentals

  • KPI and performance reporting

  • Data privacy and confidentiality

  • Internal reporting procedures

  • Professional communication