Senior Reporting Analyst

Role Description

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.
• Develop reporting that helps monitor performance, identify issues, and understand operational drivers behind key metrics.
• Establish a unified reporting approach in Sigma that reduces manual effort, standardizes metrics, and provides a consistent reporting experience across the organization.

As the Sigma subject matter expert, the Senior Reporting Analyst will:

• Administer, govern, and develop the Sigma platform.
• Establish reporting standards, reusable data models, dashboard design guidelines, security, and development best practices.
• Lead the adoption of Sigma across the organization by promoting best practices and training business users and report developers.
• Advocate for modern reporting practices, helping teams understand how to use Sigma effectively.

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.

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 and clear understanding of how data is used to power business decisions.
• Advanced experience with Sigma, including dashboard development, platform administration, governance, and security.
• 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.

Requirements

• 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.

Benefits

• Competitive, zone-based pay aligned to your location, experience, and role level.
• Comprehensive health and wellness benefits.
• Bonus and RSU equity programs.
• Global perks designed to help you grow and thrive wherever you are.

Compensation / Location

• This role is only available for hire in Z3 or Z4.
• US Zone 3: $140,000 - $175,000.
• US Zone 4: $131,000 - $163,000.