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Weekend Remote Data & Analytics Jobs in California

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

... bridge analytics and data foundations. In this role, you'll not only analyze data to generate ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

We Vote

Chief of Staff - Data Analytics

Oakland, CA · On-site +1

We are a 100% volunteer and remote organization. WeVote Chief of Staff, Data Analytics Job Definition Reporting to the Co-Executive Directors (Co-EDs), the Chief of Staff will be a key strategic ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

New

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

Cliftonlarsonallen

Data Analyst Senior

Sacramento, CA · On-site +1

$91K - $115K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

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Weekend Remote Data Analytics information

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer remote work options for data analysts, especially for roles involving data reporting, analysis, and dashboard creation, making it feasible to work remotely with the right technical skills and experience.

How to make 1000 a week remote?

A Weekend Remote Data & Analytics professional can earn $1,000 or more weekly by taking on multiple freelance or contract projects, leveraging skills in data analysis, visualization, and tools like Excel or SQL. Building a strong portfolio, gaining certifications, and consistently applying to high-paying remote opportunities can help achieve this income level.

How can I make 2000 a week working from home?

A Weekend Remote Data & Analytics professional can increase earnings by taking on multiple freelance or contract projects, leveraging skills in data analysis, visualization, and tools like Excel or SQL. Building a strong portfolio, gaining certifications, and efficiently managing time can help reach a weekly income of $2000, especially when working on high-paying projects or consulting roles during weekends.
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What job categories do people searching Weekend Remote Data & Analytics jobs in California look for? The top searched job categories for Weekend Remote Data & Analytics jobs in California are:
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Weekend Remote Data Analytics jobs near you
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA • On-site, Remote

$90K - $130K/yr

Full-time

Posted 15 days ago

Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to generate insights but also help connect and organize data from multiple sources—such as product analytics, marketing platforms, payments, and user systems—into a more complete and reliable view. We’re looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
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 building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- 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 and digital optimization 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)
- Javascript and React.
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.