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Remote Analytics Engineer Jobs (NOW HIRING)

Vanta

Senior Analytics Engineer

$157K - $185K/yr

As a Senior Analytics Engineer, you'll be responsible for laying the foundation for a best-in-class ... Remote workspace, internet, and cellphone stipend * Commuter benefits for team members who report ...

Kin Insurance, Inc.

Staff Analytics Engineer

$159K - $187K/yr

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve ... Within the Data Engineering organization, Analytics Engineering turns raw, domain-owned data into a ...

EquipmentShare

Analytics Engineer

Columbia, MO · Remote

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're ... This position is fully remote. Primary Responsibilities * Develop and manage data pipelines using ...

ONE

Analytics Engineer

$130K - $170K/yr

Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy ... Remote friendly (anywhere in the US) and office friendly - you pick the schedule * Flexible time ...

Care Access

Enterprise Performance Analytics Engineer

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Higharc

Analytics Engineer

Higharc is seeking an expert Analytics Engineer to own how data is structured, understood, and ... remote first since our founding in 2018. We offer flexible hours so you can do your best work ...

Lorven Technologies

Lead AI & Analytics Engineer

$104K - $138K/yr

Remote- USA Fulltime role We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI ...

@Orchard

Lead Data Analytics Engineer

Washington, DC · Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

Life360

Senior Analytics Engineer

$148K - $218K/yr

Life360 is a Remote First company, which means a remote work environment will be the primary ... About The Team The Analytics Data Engineering team's purpose is to design, build, and maintain ...

agilon health

Healthcare Analytics Engineer II

$100K - $122K/yr

Remote - USA Job Title: Healthcare Analytics Engineer II Essential Job Functions: * Design, develop, and maintain scalable data models that support enterprise reporting, analytics, and operational ...

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Remote Analytics Engineer information

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$45.5K

$93.2K

$135.5K

How much do remote analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote analytics engineer in the United States is $93,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $118,000.00 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.
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Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $93,179 per year, or $44.8 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

San Francisco, CA • Remote

$150K - $250K/yr

Full-time

Re-posted 27 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)