Analytics Engineer - Remote

About The CompanyCoursera, established in 2012 by renowned educators Andrew Ng and Daphne Koller, has become a global leader in online education and skills development. As a public benefit corporation and B Corp, Coursera collaborates with leading universities and industry partners to provide a diverse catalog of courses, specializations, professional certificates, and degree programs. The platform leverages innovative AI-powered features, such as personalized guidance, role-based solutions, and scalable learning tools, to deliver high-quality, accessible education worldwide. Recently, Coursera merged with Udemy, creating one of the most comprehensive skills development platforms for the AI era. The company's mission is to democratize access to world-class learning, empowering learners and professionals to advance their careers and adapt to the rapidly evolving technological landscape.About The RoleThe Staff Analytics Engineer at Coursera plays a pivotal role in designing, building, and maintaining scalable and reliable data pipelines and models that underpin critical business decisions and strategic initiatives. This position involves leading enterprise-wide data modeling strategies, establishing best practices in data governance, and fostering a culture of transparent and accessible data systems. The ideal candidate will collaborate with cross-functional teams—including data scientists, product managers, and business stakeholders—to craft innovative data solutions that enhance decision-making, optimize business processes, and drive revenue growth. This role requires a strategic thinker with deep technical expertise in data architecture, pipeline development, and analytics product creation, with a focus on enabling data democratization and operational excellence.Qualifications10+ years of experience in data and analytics engineering, with proven expertise in data architecture, pipeline development, and reporting.Proficiency in relational databases, data modeling practices, and efficient SQL coding.Hands-on experience with cloud platforms and tools such as AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, and Datahub; preference for Databricks and dbt expertise.Strong background in developing self-serve analytics solutions using BI tools like Looker or Sigma.Experience implementing Data Observability frameworks such as Monte Carlo or Great Expectations at an enterprise level.Familiarity with AI tools including Claude, Gemini, Cursor, and their application in streamlining data processing and democratization.Deep understanding of data lake architectures, batch and streaming data processing.Ability to establish and promote industry standards in data governance, technical best practices, and cross-team collaboration.Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.Demonstrated ability to connect data insights with business trends and decision-making processes.Passion for innovation, continuous learning, and creating high-impact data projects.ResponsibilitiesDesign and architect scalable, high-quality data models and ELT pipelines that serve as the backbone of Coursera’s data lake infrastructure, utilizing tools such as Airflow, DBT, Databricks, and Sigma.Develop, launch, and optimize self-serve analytics products that facilitate data discovery, enablement, and actionable insights, directly impacting business outcomes.Provide technical leadership within the analytics engineering team, setting standards, mentoring peers, and influencing the future direction of data practices at Coursera.Partner with data scientists, product teams, and business leaders to define data requirements, ensure high-fidelity data governance, and maximize the value of data assets.Create innovative tools, frameworks, and AI-driven solutions that enhance data access, understanding, and operational efficiency across the organization.Implement and oversee data observability frameworks to ensure data quality, reliability, and compliance across enterprise data systems.Drive the adoption of industry best practices in data governance, security, and technical standards across multiple teams and disciplines.Communicate complex technical concepts clearly to executive leadership and non-technical stakeholders, translating data insights into strategic recommendations.Lead initiatives to build data literacy within the organization, reducing pain points and closing data gaps to empower decision-makers.BenefitsCompetitive, location-based salary packages with comprehensive health and wellness benefits.Participation in bonus and RSU equity programs.Global perks designed to support personal and professional growth.Flexible remote work environment, fostering work-life balance and inclusivity.Opportunities for continuous learning and skill development through Coursera’s own courses and training programs.Collaborative and innovative work culture that values diversity and inclusion.Equal OpportunityCoursera is an Equal Opportunity Employer committed to fostering an inclusive workplace. We consider all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic. We provide reasonable accommodations for candidates with disabilities and are dedicated to creating a welcoming environment for all employees and applicants.