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Remote Analytics Engineer Jobs in California (NOW HIRING)

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Job Duties: Design, build, and maintain ... Stay updated with the latest industry trends and best practices in data engineering and analytics.

Workato

Lead Analytics Engineer

Palo Alto, CA · On-site +1

$120K - $158K/yr

Quartz ranked us the #1 best company for remote workers Job Duties: * Design, build, and maintain ... Stay updated with the latest industry trends and best practices in data engineering and analytics

Oklo

Safety Analysis Engineer

Santa Clara, CA · On-site +1

$80K - $185K/yr

Position Description The Safety Analysis Engineer is responsible for designing and developing ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

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Remote Analytics Engineer information

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the most commonly searched types of Analytics Engineer jobs in California? The most popular types of Analytics Engineer jobs in California are:
What are popular job titles related to Remote Analytics Engineer jobs in California? For Remote Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in California look for? The top searched job categories for Remote Analytics Engineer jobs in California are:
What cities in California are hiring for Remote Analytics Engineer jobs? Cities in California with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

San Francisco, CA • Remote

$150K - $250K/yr

Full-time

Posted 10 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Analytics Engineer (Mandarin Speaker) - this is a fully remote role for US-based candidates. Salary range: 150-250K USD base plus benefits plus equity.
We are building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 1M+ MAUs.

We are looking for a Senior Analytics Engineer with 4+ years of experience to build the data modeling and analytics layer from the ground up at a fast-growing consumer social platform. This is a founding role – you'll own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable datasets powering product analytics, experimentation, growth insights, and company-wide metrics. You'll work closely with product, engineering, growth, and leadership to define how the company understands user behavior, content performance, and retention. This is ideal for someone who thrives in ambiguity, loves building practical v1s quickly, and wants outsized ownership at an early-stage company.

What you will be doing

  • Designing and maintaining core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables

  • Defining and operationalizing company-wide metrics – DAU, retention, creator supply, content engagement, funnel conversion, and growth efficiency

  • Building dashboards and self-serve data products that help teams track product performance and diagnose issues quickly

  • Partnering with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, and backend

  • Establishing data quality standards, testing, documentation, and freshness checks so the team can trust the numbers

Requirements:
4 - 10 years of experience in analytics engineering or data engineering (Mandatory)
Built data models from raw events at a VC-backed startup or reputable consumer company (e.g., TikTok, Instagram, Snap) (Mandatory)
Experience at a consumer social, gaming, or creator platform (Nice-to-have)
Built analytics engineering function at early-stage startup (Nice-to-have)
Advanced SQL proficiency for designing reusable canonical data models (Mandatory)
Experience with BigQuery, Snowflake, or similar modern warehouses (Mandatory)