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Remote Analytics Engineer Jobs in Pasadena, CA (NOW HIRING)

Red Bull

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are looking for a Data Engineer to join our Enterprise Analytics & Data Engineering team - a ... We are in the office 4 days per week with the 5th business day being remote. WHAT SUCCESS LOOKS ...

PM2CM

Cost Engineer Hybrid-Remote

Pomona, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · Remote

Remote Reports To: Head of Business Analytics The Company: Sunbit builds financial technology ... Liaison with Data Engineering and Product to build sustainable and scalable data solutions to ...

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · On-site +1

Remote Reports To: Head of Business Analytics The Company: Sunbit builds financial technology for ... Liaison with Data Engineering and Product to build sustainable and scalable data solutions to ...

Catasys Health

REMOTE Data Analyst

Los Angeles, CA · Remote

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Work with engineering and product to implement, quality assurance, and monitor our logging and ...

Catasys Health

REMOTE Data Analyst

Los Angeles, CA · On-site +1

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Work with engineering and product to implement, quality assurance, and monitor our logging and ...

Taboola

Senior Product Analyst

Los Angeles, CA · On-site +1

$101K - $156K/yr

... product data analytics and proactively guiding business growth based on data analysis and ... Partial remote/hybrid benefit available. ANNUAL PAY RANGE : $101,712 - $156,475 + benefits (Annual ...

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All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Pasadena, CA

Remote Analytics Engineer information

See Pasadena, CA salary details

$49.6K

$101.6K

$147.8K

How much do remote analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote analytics engineer in Pasadena, CA is $101,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $128,700.00 per year, depending on experience, location, and employer.

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?

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 as a remote analytics engineer?

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.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What are popular job titles related to Remote Analytics Engineer jobs in Pasadena, CA? For Remote Analytics Engineer jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Pasadena, CA look for? The top searched job categories for Remote Analytics Engineer jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Remote Analytics Engineer jobs? Cities near Pasadena, CA with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Pasadena, CA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,640 per year, or $48.9 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Los Angeles, CA • Remote

$150K - $250K/yr

Full-time

Re-posted yesterday

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)