2

Remote Junior Analytics Engineer Jobs in California

Collaborate with software engineers, data analysts, and business stakeholders to understand ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Junior Data Analyst

Los Angeles, CA ยท On-site +1

$26 - $37/hr

Support the development of data models and algorithms for more advanced analytics. * Reporting and ... Knowledge of engineering and consulting industry practices. Working Conditions: * Remote-based with ...

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Junior Property Compliance Analyst

Long Beach, CA ยท On-site +1

$55K - $74K/yr

Position Summary Under close supervision, the Junior Property Compliance Analyst will complete a ... Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ...

Junior DevOps Engineer

San Francisco, CA ยท On-site +1

$62.25 - $85/hr

Junior DevOps Engineer Company Overview: M & D Mechanical Contractors is a leading mechanical ... However, due to the current COVID-19 pandemic, remote work options may be available. Contract ...

... Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management ... WE ARE HIRING JUNIOR LEVEL COST ENGINEERS WITH 1 OR MORE YEARS OF WORK EXPERIENCE TO WORK ON ...

... Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management ... WE ARE HIRING JUNIOR LEVEL COST ENGINEERS WITH 1 OR MORE YEARS OF WORK EXPERIENCE TO WORK ON ...

... Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management ... WE ARE HIRING JUNIOR LEVEL COST ENGINEERS WITH 1 OR MORE YEARS OF WORK EXPERIENCE TO WORK ON ...

... Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management ... WE ARE HIRING JUNIOR LEVEL COST ENGINEERS WITH 1 OR MORE YEARS OF WORK EXPERIENCE TO WORK ON ...

next page

Showing results 1-20

Remote Junior Analytics Engineer information

What is a remote junior analytics engineer?

A Remote Junior Analytics Engineer is an entry-level professional who works from a remote location to support the design, development, and maintenance of data analytics systems. Their responsibilities typically include building data pipelines, transforming raw data into usable formats, and assisting with the creation of dashboards and reports for business insights. They often work closely with data analysts, data engineers, and business stakeholders to ensure data quality and accessibility. This role is ideal for individuals who have foundational knowledge in data modeling, SQL, and analytics tools and want to gain hands-on experience in the field while working remotely.

What are the key skills and qualifications needed to thrive as a remote junior analytics engineer?

To thrive as a Remote Junior Analytics Engineer, you need strong skills in SQL, data modeling, and basic statistics, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with analytics platforms like dbt, cloud data warehouses (e.g., Snowflake, BigQuery), and version control systems such as Git is expected. Attention to detail, proactive communication, and a willingness to learn are essential soft skills for collaborating remotely and solving data challenges. These competencies ensure that data pipelines are reliable, insights are accurate, and teams can effectively leverage data for decision-making.

How do remote junior analytics engineers typically collaborate with team members and stakeholders given the remote work setting?

Remote Junior Analytics Engineers often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to communicate with data teams, software engineers, and business stakeholders. Regular virtual meetings, code reviews, and status updates help ensure alignment on project goals and data pipeline development. Building strong written communication skills is important, as much of the collaboration happens asynchronously. While remote work offers flexibility, proactively seeking feedback and clarifying expectations are key to success in this role.

What is the difference between Remote Junior Analytics Engineer vs Remote Data Analyst?

AspectRemote Junior Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in Statistics, Math, or related; proficiency in SQL and data visualization tools
Work EnvironmentCollaborates with engineering and data teams; focuses on data pipelines and analytics toolsWorks with business teams; analyzes data to generate reports and insights
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, and retail sectors

Remote Junior Analytics Engineers typically focus on building data infrastructure and pipelines, requiring programming skills, while Data Analysts primarily interpret data to inform business decisions. Both roles often work remotely and require similar educational backgrounds, but their core responsibilities differ.

What are the most commonly searched types of Remote Analytics Engineer jobs in California?

The most popular types of Remote Analytics Engineer jobs in California are:

What are popular job titles related to Remote Junior Analytics Engineer jobs in California?

For Remote Junior Analytics Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Junior Analytics Engineer jobs in California look for?

The top searched job categories for Remote Junior Analytics Engineer jobs in California are:

What cities in California are hiring for Remote Junior Analytics Engineer jobs?

Cities in California with the most Remote Junior Analytics Engineer job openings:

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Los Angeles, CA โ€ข Remote

$150K - $250K/yr

Full-time

Re-posted 12 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)