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Remote Climate Data Analyst Jobs in California (NOW HIRING)

Akraya Inc.

Data Analysis Lead : 26-01763

Santa Clara, CA · On-site +1

$60 - $66/hr

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

Tailored Brands

Data Analyst - Test & Learn

Dublin, CA · On-site +1

About the Job We currently have an exciting remote opportunity for a Test & Learn Analyst to join the Tailored Brands Enterprise Analytics team. The Enterprise Analytics team is central to our data ...

Agility Recruiting

Utility Billing Analyst

Oakland, CA · On-site +1

$85K - $91K/yr

Analyze client cost data and build Excel models to identify savings opportunities, with a focus on ... Hybrid schedule (3 days in office) with full remote tech setup provided * Employee Stock Ownership ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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All JobsClimate Data Analyst JobsRemote Climate Data Analyst JobsRemote Climate Data Analyst Jobs in California

Remote Climate Data Analyst information

What are the key skills and qualifications needed to thrive as a remote climate data analyst?

To thrive as a Remote Climate Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant degree in climatology, meteorology, or data science. Proficiency in data analysis tools such as Python, R, GIS software, and experience with climate databases or remote sensing systems is typically required. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and present findings clearly to stakeholders. These skills ensure accurate analysis and actionable insights that inform climate-related decisions and policies.

What is a remote climate data analyst?

A Remote Climate Data Analyst is a professional who analyzes climate-related data from various sources, such as weather stations, satellites, and environmental sensors, while working remotely. They use statistical and computational tools to interpret data trends, assess environmental impacts, and support climate research or policy decisions. This role often involves creating reports, visualizations, and models to communicate findings to scientists, policymakers, or the public. Remote Climate Data Analysts typically collaborate with teams online and may use specialized software for data analysis, modeling, and geographic information systems (GIS).

How do remote climate data analysts typically collaborate with other team members and stakeholders while working off-site?

Remote Climate Data Analysts often collaborate through digital communication tools, such as video conferencing, shared data platforms, and project management software. They work closely with scientists, engineers, and policy experts to interpret climate data and provide actionable insights. Regular virtual meetings, transparent progress tracking, and clear documentation are essential to ensure alignment and effective teamwork. Additionally, analysts may participate in cross-functional projects, requiring them to adapt communication styles and coordinate with colleagues across different time zones.
What are the most commonly searched types of Climate Data Analyst jobs in California? The most popular types of Climate Data Analyst jobs in California are:
What are popular job titles related to Remote Climate Data Analyst jobs in California? For Remote Climate Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Climate Data Analyst jobs in California look for? The top searched job categories for Remote Climate Data Analyst jobs in California are:
What cities in California are hiring for Remote Climate Data Analyst jobs? Cities in California with the most Remote Climate Data Analyst job openings:
Remote Climate Data Analyst jobs near you
Infographic showing various Remote Climate Data Analyst job openings in California as of August 2026, with employment types broken down into 68% Full Time, 9% Part Time, 7% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 13 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