Requirements

• 7+ years of experience in business intelligence, reporting solutions, marketing analytics, data visualization, or a related discipline.
• 2+ years of people management experience, including responsibility for coaching, performance management, prioritization, and career development.
• Experience within an advertising agency, consulting organization, or other multi-client environment, with demonstrated ability to manage competing client priorities and stakeholder expectations.
• Demonstrated experience leading the design and delivery of client-facing reporting and analytics solutions from requirements through production and ongoing iteration.
• Strong experience across modern business intelligence and data visualization platforms such as Looker, Looker Studio, Tableau, Power BI, or similar technologies.
• Strong understanding of data visualization, information architecture, UX, and data storytelling, with the ability to guide teams toward reporting experiences that clearly communicate performance and actionable insights.
• Strong working knowledge of SQL, analytical data models, metrics, and dimensions, with the technical depth to review reporting solutions and partner effectively with Data Engineering.
• Demonstrated experience identifying opportunities to standardize and scale reporting solutions rather than solving every requirement through bespoke development.
• Strong understanding of digital marketing and measurement, including common KPIs, media channels, attribution considerations, and differences in reporting needs across clients and business models.
• Experience working with marketing and advertising data from platforms such as Google Ads, Meta, Microsoft, The Trade Desk, Google Analytics, Adobe Analytics, or similar platforms.

Preferred

• Experience developing reporting or measurement solutions for specialized verticals such as B2B, Retail Media, ecommerce, lead generation, or other complex measurement environments.
• Experience with modern web-based analytics applications or embedded analytics, including technologies such as React, Next.js, Vercel, Streamlit, or similar frameworks.
• Experience designing or implementing AI-enabled analytics experiences, including conversational analytics, natural-language data exploration, automated insights, or agentic reporting workflows.
• Experience using AI-assisted software engineering tools such as Claude Code, OpenAI Codex, OpenCode, Cursor, GitHub Copilot, or similar tools.
• Familiarity with BigQuery, dbt, semantic layers, metrics layers, or modern analytics engineering practices.
• Experience defining reporting product roadmaps, reusable design systems, component libraries, or standardized reporting frameworks.
• Experience with product development practices such as user research, prototyping, user stories, requirements documentation, usability testing, and iterative product development.

Benefits

• Remote-first culture
• Unlimited PTO
• Extended Holiday break (Winter)
• Flexible schedules
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Medical, Dental, Vision, Life, Pet Insurance
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance