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Remote Entry Level Statistician Jobs in California

Remote Entry Level Statistician information

What does a remote entry level statistician do?

A remote entry level statistician collects, analyzes, and interprets data to help organizations make informed decisions. Working remotely, they often use statistical software to process data, create reports, and assist with research projects. Their tasks may include cleaning data, running basic statistical tests, and visualizing results. They typically collaborate with team members via digital communication tools and may work in a variety of industries, such as healthcare, business, or government.

What are some common challenges remote entry level statisticians face when collaborating with distributed teams?

Remote Entry Level Statisticians often encounter challenges such as coordinating across different time zones, ensuring clear communication with teammates, and maintaining visibility on project progress. To overcome these, they frequently use collaborative platforms, schedule regular virtual meetings, and document their work thoroughly. Being proactive in asking questions and seeking feedback helps them stay connected and align their analyses with team goals.

What are the key skills and qualifications needed to thrive as a remote entry level statistician?

To thrive as a Remote Entry Level Statistician, you need a solid understanding of statistical methods, data analysis, and a degree in statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as proficiency in Excel, is typically required. Strong attention to detail, effective written communication, and the ability to work independently make candidates stand out in remote settings. These skills ensure accurate data interpretation, reliable results, and effective collaboration in a distributed work environment.

What is the difference between Remote Entry Level Statistician vs Remote Data Analyst?

AspectRemote Entry Level StatisticianRemote Data Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; familiarity with statistical softwareBachelor's in Data Science, Statistics, or related; proficiency in data visualization tools
Work EnvironmentRemote, often in research or academic settingsRemote, in corporate or business environments
Employer & Industry UsageUniversities, research firms, healthcare, governmentTech companies, finance, marketing, consulting
Common Search & ComparisonYesYes

The main difference between a Remote Entry Level Statistician and a Remote Data Analyst lies in their focus and typical work environments. Statisticians primarily analyze data using statistical methods, often in research or academic settings, while Data Analysts tend to focus on interpreting data for business insights in corporate environments. Both roles require similar educational backgrounds but differ in industry application and daily tasks.

What are popular job titles related to Remote Entry Level Statistician jobs in California? For Remote Entry Level Statistician jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Statistician jobs in California look for? The top searched job categories for Remote Entry Level Statistician jobs in California are:
Infographic showing various Remote Entry Level Statistician job openings in California as of July 2026, with employment types broken down into 67% Full Time, 21% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% 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

Posted 2 days ago

New


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