Analytics Engineer, Executive Reporting

Salary

$310K – $385K

Location

This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in the office per week. Relocation assistance is available for new hires.

As a critical member of our Analytics Engineering team, you will take ownership of our Executive Dashboards, serving as the key point of contact for executive-level reporting. You will build intuitive, insightful dashboards in Tableau that drive strategic decision-making across the organization. Your responsibilities will include ensuring that underlying data queries draw from reliable, high-quality sources, clearly defining and documenting metrics, and setting best practices and standards for dashboard creation, management, and discovery company-wide.

In this role, you will:

Collaborate closely with Data Science & Business partners to understand reporting needs and deliver dashboards that provide clear, actionable insights.
Develop, maintain, and enhance executive dashboards using Tableau, ensuring they reflect best practices in data visualization and usability.
Define, document, and maintain clear and precise definitions of key business metrics to ensure consistency and clarity across reporting.
Ensure the accuracy, integrity, and performance of underlying data queries, proactively identifying and resolving data quality issues.
Establish standards and best practices for dashboard development and management, educating stakeholders and team members on effective usage and interpretation.
Partner cross-functionally with data engineering, analytics, and business teams to streamline data sourcing and drive continuous improvement in reporting capabilities.

You might thrive in this role if you are/have:

5+ years of experience in Analytics Engineering, Business Intelligence, or a similar data-focused role.
Advanced expertise in Tableau for developing executive-level dashboards and visualizations.
Strong SQL skills with experience optimizing queries to support performant, accurate reporting.
Exceptional skills in metric definition, documentation, and communication, with meticulous attention to detail.
Proven ability to partner effectively with Data Science, Business partners, and other cross-functional stakeholders to understand and deliver on complex business needs.
A proactive mindset for identifying opportunities to improve data quality, reporting accuracy, and dashboard usability.
Experience with data modeling and ETL processes to enhance reporting efficiency and reliability.

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