---
title: 'Staff Analytics Engineer at Coursera Sourcing'
canonical: 'https://feeny.ai/job/staff-analytics-engineer-coursera-sourcing-united-states-6h2yabq26x8m'
type: 'job'
last_seen: '2026-09-10'
---

# Staff Analytics Engineer at Coursera Sourcing

- **Company:** Coursera Sourcing
- **Location:** United States
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/sourcingcour/jobs/6178946004

## Job description

## About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our [blog](https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/).

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview:

Analytics Engineering plays a crucial role in building robust and reliable data pipelines and data models that enable data-driven decision-making, powering various analytics, AI, and machine learning initiatives within Coursera. In addition, Analytics Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction.

As a Staff Analytics Engineer, you will be architecting high quality and scalable data pipelines powering business critical applications, leading enterprise wide data modeling strategies and driving a culture of transparent, well-governed data systems. You will collaborate with both technical and cross-functional leaders to lead and set direction on how we craft and look at data, while driving industry accepted standards on data governance, discoverability, and accessibility. You will craft technical decisions and design trade-offs to ensure we can speedily deliver on ambitious, innovative goals while building the foundations for extension and scale in years to come.

Responsibilities:

- Architect scalable data models and construct high quality ELT pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, and Sigma. Your work innovates with principles adopted by others.
- Design, build, and launch self-serve analytics products from data consumption to data discovery and enablement. Your creations reach far beyond basic dashboarding and are intimately tied with business outcomes, identifying root causes of trends that have immediate impact.
- Be a technical leader for the team. Your proficiency in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Analytics Engineering at Coursera and foster a culture of continuous learning and growth.
- Be a data leader for the business. Your initiatives will directly increase data literacy, significantly reduce pain points, and resolve data gaps.
- Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Your ability to see KPI interrelationships and how they maximize ROI across the business makes you a recognized bridge connecting data and business outcomes.
- Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while enhancing frameworks with AI-driven capabilities.

Basic Qualifications:

- 10+ years experience in data/analytics engineering with expertise in data architecture, pipelines, and reportingExpert experience with relational databases, DRY data modeling practices, and efficient SQL code generation
- Expert experience with some of: AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub; Databricks preferred, dbt required
- Expert experience with crafting and driving self service reporting solutions with hands on experience in BI Tools; Looker or Sigma preferred
- Strong understanding and demonstrated experience in root cause analysis, with a background in Data Science or Business a plus
- Strong experience implementing Data Observability frameworks (e.g., Monte Carlo, Great Expectations) at an enterprise level
- Strong hands on experience with AI tools such as Claude, Gemini, Cursor and its role in streamlining data processing and enabling data democratization
- Strong experience with data lake architecture and batch and streaming architectures
- Strong experience in driving industry standards in data governance and technical best practices and driving standards across multiple engineering pods or business disciplines
- Strong ability to communicate technical concepts clearly and concisely to leadership
- Proven relationships with business end users with clear understanding of how data is used to power business decisions with demonstrated storytelling skills connecting data with trends observed in business
- Independence and passion for innovation and learning new technologies; seeks out and creates high-impact projects

Preferred Qualifications:

- Strong Experience leading cross-functional RFCs (Request for Comments) and driving technical standards across multiple engineering pods or business disciplines
- Strong experience with data lake architecture and batch and streaming architectures
- Proven track record building feature stores or data pipelines specifically for LLM fine-tuning and RAG architectures
- Strong track record of leadership and mentorship in elevating data culture, preferably in a remote environment

Keep Learning

If this opportunity interests you, you might like these courses on Coursera:

- [Big Data Specialization](https://www.coursera.org/specializations/big-data)
- [Generative AI Fundamentals](https://www.coursera.org/specializations/generative-ai-for-everyone)
- [Data Warehousing for Business Intelligence](https://www.coursera.org/specializations/data-warehousing)

Compensation / Location:

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

This role is only available for hire in:

US Zone 3: $167,200 - $209,000

US Zone 4: $156,000 - $195,000

US Pay Zones:

- US-Z1: SF Bay Area (within 75 miles)
- US-Z2: NYC and Seattle Metro (within 75 miles)
- US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
- US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI

Posting Date: September 2, 2026

Application Window: September 2nd - September 9th

We anticipate the application window will be open until September 9th. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

#PL-1

For more information about how Coursera collects and uses your personal information, please see our [Coursera + Udemy Global Applicant Privacy Notice](https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Coursera%20and%20Udemy%20Global%20Applicant%20Privacy%20Notice.pdf).

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our [Fraudulent Activity Submission Form.](https://forms.gle/Mb8UktwuaJAukb3H7)

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at recruiting@coursera.org.

## About Coursera Sourcing

## Company Overview
- **One-liner**: Coursera is an online learning platform that partners with leading universities and industry organizations to offer courses, Specializations, Professional Certificates, and degrees, and has recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
- **Entity Type**: Public Benefit Corporation (B Corp) – publicly traded (NYSE: COUR)
- **Headquarters**: Bay Area, California, USA (inferred from job zone definitions) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour)
- **Founded**: 2012 [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Founders**: Andrew Ng and Daphne Koller [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Core Business
- **Primary industry**: EdTech / Online Learning
- **Target customers**: B2B (institutions, corporations, governments), B2C (individual learners), and Enterprise (workforce upskilling) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Mission**: “to provide universal access to world-class learning” [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Products & Services
- **Courses & Specializations**: Individual and series of courses from top universities and industry partners.
- **Professional Certificates**: Career-focused certificate programs.
- **Degrees**: Online degree programs from accredited universities.
- **AI-Powered Features**: Personalized guide, Role Play (conversational practice), Course Builder, and Skills Tracks for role-based learning [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Coursera for Business / Government**: Enterprise solutions for workforce and citizen upskilling, including dedicated roles like Senior Product Marketing Manager for Government [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Combined Udemy Platform**: Post-merger, the expanded catalog and scale of combined content offerings [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources (publicly traded, market cap can be looked up separately).
- **Key Metric**: Over 11 active open positions as of May 2026, indicating growth and active hiring [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Notable Investors/Partners**: Partnerships with “leading university and industry partners” (specific names not listed in provided sources) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Growth Signals**: Merger with Udemy to form a combined skills development platform; extensive hiring in data science, product, engineering, and go-to-market roles; emphasis on AI-powered innovation (GenAI, LLM fine-tuning, RAG) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Competitive Advantages
- **University & Industry Partnerships**: Access to content from top institutions (e.g., Stanford, Yale, Google, IBM) not exclusive but deep.
- **AI-First Platform**: Built-in AI tools (personalized guide, Role Play, Course Builder) differentiate from traditional LMS and other MOOC providers [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Scale After Udemy Merger**: Combined content library and global reach create one of the largest lifelong learning ecosystems [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Public Benefit & B Corp Status**: Legally committed to social impact alongside shareholder returns, an attractive differentiator for mission-driven talent [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Strategic Focus
- **AI-Powered Innovation**: Accelerating the use of generative AI to personalize learning, automate content creation, and improve learner outcomes [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Post-Merger Integration**: Combining Coursera and Udemy to maximize catalog breadth, remove redundancies, and cross-sell to new segments [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Enterprise & Government Expansion**: Growing upskilling and reskilling solutions for corporate and public-sector clients (e.g., dedicated roles for Coursera for Government) [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Data-Driven Product Development**: Heavy investment in analytics, experimentation, and data infrastructure to improve discovery and engagement [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)

## Why Work Here
- **Culture**: “Customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.” Emphasis on ownership, data-driven decision-making, and continuous learning [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)
- **Work Model**: Globally distributed team with intentional in-person gatherings for collaboration; virtual onboarding and hiring. Some roles listed as on-site (100%) on jobera, but the overall tone is remote-friendly with location-specific pay zones [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [jobera.com](https://jobera.com/employer/sourcingcour/)
- **Compensation & Perks**: Competitive zone-based pay (e.g., Staff Analytics Engineer: $156k–$235k USD depending on location), bonus, RSU equity, comprehensive health benefits, and global perks. For Canadian roles, CAD ranges are also published (e.g., Senior Data Scientist: $137.6k–$172k CAD) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004)
- **Engineering Culture**: Modern data stack (Airflow, dbt, Databricks, Sigma, AI tools like Claude/Gemini); strong mentorship and leadership opportunities; focus on data governance, architecture, and self-serve analytics [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004)

## Sources
1. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour) – Coursera Sourcing career page (Greenhouse)
2. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6034872004) – Staff Analytics Engineer job description
3. [greenhouse.io](https://job-boards.greenhouse.io/sourcingcour/jobs/6014550004) – Senior Data Scientist job description
4. [jobera.com](https://jobera.com/employer/sourcingcour/) – Jobera summary of Coursera Sourcing jobs
5. [coursera.org](https://www.coursera.org/) – Coursera homepage

## Other roles at Coursera Sourcing

- [Product Specialist](https://feeny.ai/job/product-specialist-coursera-sourcing-mexico-city-2qae3amxx39d) — Mexico City, Mexico
- [Staff Product Manager, Search](https://feeny.ai/job/staff-product-manager-search-coursera-sourcing-united-states-htd5b04wnghj) — United States
- [Senior Software Test Engineer](https://feeny.ai/job/senior-software-test-engineer-coursera-sourcing-toronto-hca2297b4d8m) — Toronto, Canada
- [Senior Consumer Strategy and Business Development Manager](https://feeny.ai/job/senior-consumer-strategy-and-business-development-manager-coursera-sourcing-kqdtgvv7bjnf) — United States
- [Monetization Strategy & Operations Lead](https://feeny.ai/job/monetization-strategy-operations-lead-coursera-sourcing-denver-x72xgpwg49x9) — Denver, CO
- [Staff Product Manager](https://feeny.ai/job/staff-product-manager-coursera-sourcing-united-states-kekdddpap3aj) — United States
- [Senior Offers and Promotions Strategy Manager](https://feeny.ai/job/senior-offers-and-promotions-strategy-manager-coursera-sourcing-united-states-gy17gj589m4v) — United States
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-coursera-sourcing-canada-ghtzre3mb59z) — Canada
- [Staff Product Designer](https://feeny.ai/job/staff-product-designer-coursera-sourcing-canada-myayme5rf8a3) — Canada
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-coursera-sourcing-canada-ckfhcb43d4zk) — Canada