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Statistical Analyst Remote Jobs in California (NOW HIRING)

City of Sacramento

Administrative Analyst

Sacramento, CA · On-site +1

$75K - $106K/yr

THE POSITION With supervisor approval, incumbents may be eligible for intermittent remote work ... Principles and practices of program performance measurement, systems analysis, and statistical ...

Pearl

Product Analyst

San Francisco, CA · Remote

Expertise in descriptive and inferential statistical analysis * Strong experience designing ... Translates complex analysis into clear, compelling narratives that drive action Remote From these ...

Pearl

Product Analyst

San Francisco, CA · Remote

Expertise in descriptive and inferential statistical analysis * Strong experience designing ... Translates complex analysis into clear, compelling narratives that drive action Remote From these ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

JLL

Senior Finance Analyst

South San Francisco, CA · Remote

$102K - $128K/yr

Remote What this job involves: This Senior Financial Analyst position offers an exciting ... Conduct complex financial analysis and modeling using statistical tools to support forecasting ...

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Statistical Analyst Remote information

What are the key skills and qualifications needed to thrive as a Statistical Analyst in a remote role, and why are they important?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

What does a Statistical Analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What is the difference between Statistical Analyst Remote vs Data Analyst Remote?

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

What are the most commonly searched types of Statistical Analyst jobs in California? The most popular types of Statistical Analyst jobs in California are:
What are popular job titles related to Statistical Analyst Remote jobs in California? For Statistical Analyst Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst Remote jobs in California look for? The top searched job categories for Statistical Analyst Remote jobs in California are:
What cities in California are hiring for Statistical Analyst Remote jobs? Cities in California with the most Statistical Analyst Remote job openings:
Statistical Analyst Remote jobs near you
Infographic showing various Statistical Analyst Remote job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Posted 26 days ago

Job description

Company Description

The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.

Job Description

The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.

Responsibilities:

  • Directly own the creation of key company metrics used to track aggregate company OKR performance 

  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth

  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly

  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics

  • Work with product managers and engineers to design data products and run A/B experiments

  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.

  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm 

  • Work towards creating a data-driven culture at The League

  • Understand what matters most and prioritize ruthlessly

Qualifications

  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field

  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis

  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)

  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others

  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions

  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:

  • Prior experience in Gaming or Dating industry

  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information

All your information will be kept confidential according to EEO guidelines.

TO APPLY

  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION

  • Competitive/above average for the industry 

Apply