Senior Reporting Analyst

About the role

Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog.

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.

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.
• Create 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.
• Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data.
• Develop new frameworks such as integrating Sigma with Databricks Unity Catalog or dbt semantic layer to ensure robust and high quality reporting.
• Architect scalable and high quality data models in Sigma that acts as the backbone of the reporting ecosystem, allowing general end users to self serve with a low barrier to entry.
• Develop documentation, training materials, and best practices that encourage business users in adopting Sigma for self-service reporting.

Required Qualifications

• 7+ years experience developing business intelligence and reporting solutions with a strong data science or business background
• 3+ 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
• 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