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Co Op Remote Analytics Engineer Jobs (NOW HIRING)

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 ... AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN ...

Lehigh University

$67K - $90K/yr

Bethlehem, Fully Remote Categories: Student Life Director of Internships and Employer Partnerships ... Design and scale high-impact internship and co-op opportunities by analyzing workforce trends and ...

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 ...

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How much do co op remote analytics engineer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for co op remote analytics engineer in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Remote Analytics Engineer jobs? The most popular types of Remote Analytics Engineer jobs are:
Co Op Remote Analytics Engineer jobs near you
Infographic showing various Co Op Remote Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Senior Analytics Engineer (Mandarin Speaker)

Career Renew

Los Angeles, CA • Remote

$150K - $250K/yr

Full-time

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)