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Remote Part Time Data Analytics Jobs in California

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Remote Part Time Data Analytics information

What are the key skills and qualifications needed to thrive as a Remote Part Time Data Analyst, and why are they important?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What are remote part-time data analytics jobs?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are some common challenges faced by remote part-time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.
What are popular job titles related to Remote Part Time Data Analytics jobs in California? For Remote Part Time Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Part Time Data Analytics jobs in California look for? The top searched job categories for Remote Part Time Data Analytics jobs in California are:
What cities in California are hiring for Remote Part Time Data Analytics jobs? Cities in California with the most Remote Part Time Data Analytics job openings:
Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in California as of June 2026, with employment types broken down into 6% Full Time, 61% Part Time, 6% Temporary, and 27% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

Language Model Analyst - Fully Remote | Upto $20/hr Part-time

Mercor

San Francisco, CA • Remote

$20/hr

Part-time

Posted 10 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Generalist - English & Odia
Type: Contract
Compensation: $15–$20/hour
Location: Remote

Role Responsibilities

  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.

Qualifications

Must-Have

  • Bachelor's degree.
  • Native speaker in Odia.
  • Significant experience using large language models (LLMs).
  • Excellent writing skills in English.
  • Strong attention to detail.
  • Background or experience in domains requiring structured analytical thinking.

Preferred

  • Prior experience with RLHF, model evaluation, or data annotation work.
  • Experience writing or editing high-quality written content.
  • Experience comparing multiple outputs and making fine-grained qualitative judgments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.