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Remote Data Analyst Evening Jobs in California (NOW HIRING)

Sunbit

Sr. Portfolio Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

Description JOB TITLE: Sr. Portfolio Data Analyst LOCATION ... Remote (must be open to occasional business travel to Los Angeles and New York as needed) REPORTS ...

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 ...

CCOF

Financial Data & Systems Analyst

Santa Cruz, CA · Remote

The Financial Data & Systems Analyst will work closely with the CFO and cross-functional teams to ... This is a United States-based remote position, operating on a Pacific Time Zone work schedule.

New

JLL

Data Analytics, Technical Director

Sacramento, CA · Remote

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

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All JobsData Analyst Evening JobsRemote Data Analyst Evening JobsRemote Data Analyst Evening Jobs in California

Remote Data Analyst Evening information

What is a remote data analyst evening?

Remote Data Analyst Evening jobs involve analyzing and interpreting data for organizations while working remotely, typically during evening hours. These professionals gather, clean, and interpret data to help businesses make informed decisions, with schedules tailored for those who prefer or require evening work. Tasks may include creating reports, generating insights, and using data visualization tools, all done from a remote location. This role is ideal for those seeking flexibility or who need to work outside of traditional office hours.

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

To thrive as a Remote Data Analyst Evening, you need strong analytical skills, a solid understanding of statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data visualization tools (such as Tableau or Power BI), proficiency in SQL, and experience with programming languages like Python or R are typically required. Self-motivation, effective written communication, and strong time management are crucial soft skills for excelling in a remote, evening-based role. These skills ensure accurate insights, efficient collaboration across time zones, and the ability to meet deadlines independently.

How does working as a remote data analyst during evening hours influence collaboration with team members in different time zones?

As a Remote Data Analyst working during evening hours, you'll often collaborate asynchronously with colleagues who may be in different time zones or working standard business hours. This requires strong communication skills, as much of the interaction happens through emails, shared documents, and project management tools. You'll likely participate in scheduled virtual meetings or provide updates that teammates can review during their own shifts. Being proactive about clarifying tasks and deadlines is important to ensure smooth workflow and avoid misunderstandings. This structure can offer flexibility but also demands good organizational habits and self-motivation.

What is the difference between Remote Data Analyst Evening vs Remote Data Analyst Night?

AspectRemote Data Analyst EveningRemote Data Analyst Night
Work HoursTypically 4-8 PM or 3-11 PMTypically 10 PM-6 AM or 11 PM-7 AM
Work EnvironmentRemote, flexible hours, team collaboration during daytimeRemote, overnight hours, often less team interaction
Required SkillsData analysis, communication, time managementSame as Evening role, with emphasis on independent work
Industry UsageFinance, marketing, healthcareIT, cybersecurity, global companies

The main difference between Remote Data Analyst Evening and Night roles lies in their work hours and environment. Evening roles typically involve working during late afternoon to evening hours, with more team interaction, while Night roles are scheduled overnight, often requiring more independent work. Both positions demand similar skills and are used across various industries, catering to different operational needs.

What are the most commonly searched types of Remote Data Analyst jobs in California?

The most popular types of Remote Data Analyst jobs in California are:

What are popular job titles related to Remote Data Analyst Evening jobs in California?

For Remote Data Analyst Evening jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Evening jobs in California look for?

The top searched job categories for Remote Data Analyst Evening jobs in California are:

What cities in California are hiring for Remote Data Analyst Evening jobs?

Cities in California with the most Remote Data Analyst Evening job openings:

Remote Data Analyst Evening jobs near you
Infographic showing various Remote Data Analyst Evening job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. Data Analyst (Product Analytics)

Thunkable

San Francisco, CA • On-site, Remote

$90K - $140K/yr

Full-time

Medical, PTO

Posted 23 days ago

Key responsibilities

  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

  • Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.

Job description

About Thunkable

Thunkable is the leading no-code and AI platform that empowers anyone to design, develop, and deploy powerful, native mobile applications without writing a single line of code. Our mission is to make app development accessible to everyone—transforming passive consumers into active creators of technology.

Founded in 2016 by Arun Saigal and Weihua Li, former members of the MIT App Inventor and MIT Scratch team, Thunkable now supports millions of users across 184 countries, including a quarter of Fortune 500 companies. We’re backed by Lightspeed, NEA, Owl Ventures, SV Angel, and Y Combinator.

Role Overview

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team. In this role, you'll turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.

Beyond analysis, you'll help improve the quality and accessibility of our data by working with engineering on event tracking, integrating data from multiple systems, and ensuring our analytics foundation supports better decision-making across the business.

Key Responsibilities

  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

  • Define success metrics and evaluate the impact of new features, experiments, and product initiatives.

  • Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.

  • Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.

  • Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.

  • Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.

  • Document key metrics, tracking plans, and data definitions to improve organizational understanding.

Required Qualifications

  • BA/BS degree or above in a related field or equivalent experience required.

  • 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.

  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.

  • Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.

  • Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.

  • Experience in data queries and statistical programming tools (SQL, R, Python, etc.)

  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

  • You have strong analytical and problem-solving skills, with a keen attention to detail.

  • You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.

  • You are a self-starter who thrives in a start-up environment and has a strong follow-through.

Preferred Qualifications

  • Experience with improving data pipelines, data storage and analytical frameworks.

  • Event tracking (eg. Javascript, Google tag manager)

Life at Thunkable

Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.

Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.

What You’ll Get:

  • Competitive compensation, equity, and unlimited PTO

  • Health, wellness, and training budget

  • Global remote flexibility

  • The opportunity to directly influence the future of no-code and AI-driven app development

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.