Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025. Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.

Job Overview:

The Senior Reporting Analyst is responsible for the organization's enterprise reporting strategy and Sigma business intelligence platform. This role works with business leaders to understand how they measure success and develops reporting that helps them monitor performance, identify issues, and understand the operational drivers behind key metrics. This role will establish a unified reporting approach in Sigma that reduces manual effort, standardizes metrics, and provides a consistent reporting experience across the organization.

As the organization's Sigma subject matter expert, the Senior Reporting Analyst is responsible for the administration, governance, and ongoing development of the platform. This includes establishing reporting standards, reusable data models, dashboard design guidelines, security, and development best practices that create a consistent and scalable reporting environment.

The Senior Reporting Analyst will also lead the adoption of Sigma across the organization by promoting best practices, training business users and report developers, and building self-service reporting capabilities. This role serves as an advocate for modern reporting practices, helping teams understand how to use Sigma effectively while reducing reliance on manual reporting and spreadsheet-based analysis.

This position sits in the Analytics Engineering organization which 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.

Responsibilities:

Partner with business leaders to understand organizational goals, business processes, and how success is measured across functional areas.

Facilitate discussions with business teams to define KPIs and reporting requirements, while challenging assumptions and recommending alternative approaches when they better support decision-making.

Develop reporting frameworks that support root cause analysis by allowing users to move from high-level KPIs to the underlying operational metrics and detailed data needed to investigate trends, exceptions, and performance issues. Creates solutions that help explain why performance is changing by connecting executive metrics to the operational activities and processes that influence them.

Serve as a trusted advisor to business and analytics teams on reporting strategy, visualization, KPI design, and best practices.

Required Qualifications:

7+ years experience developing business intelligence and reporting solutions with a strong data science or business background3+ years experience in data/analytics engineering with strong experience connecting data pipelines to end state reporting

1+ years experience developing conversational analytics and agentic AI solutions

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

Advanced experience with Sigma, including dashboard development, platform administration, governance, and security. Similar experience in other BI tools such as Looker is acceptable.

Strong communication skills with the ability to work effectively with both technical and business teams.

Strong understanding of KPI development, dimensional data modeling, and reporting design.

Strong proficiency with SQL and creating reusable data models.

Strong experience with some of: AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub; Databricks and dbt preferred

Hands on experience with AI tools such as Claude, Gemini, Cursor and its role in streamlining data processing and enabling data democratization

Preferred Qualifications:

Data science or business background preferred

Strong experience with analytics engineering principles with hands on experience creating data pipelines in dbt

Experience modernizing reporting environments and consolidating reporting platforms.

Strong track record of leadership and mentorship in elevating data culture, preferably in a remote environment