Senior Analytics Engineer

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index ! About the Role Our Business Intelligence team transforms complex data into actionable insights and impactful reporting . We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment. As a Senior Analytics Engineer, you will design, build, and maintain the data models, pipelines, and semantic layers that power analytics, reporting, and decision-making across Attentive. Partnering closely with cross-functional engineering teams, you will interpret complex data, optimize data infrastructure, and drive efficiency across the organization. The ideal candidate thrives on collaborating with diverse teams, delivering actionable reporting, and excelling in fast-paced, dynamic environments. What You’ll Accomplish Engage with cross-functional product and engineering teams to define analytics requirements and metrics. Build robust, exec-facing dashboards to support key business decisions across the organization. Design, build, and maintain scalable dbt and Looker data models that support analytics, reporting, and domain ownership. Use data modeling, statistics, and other analytical techniques to extract and analyze data from large datasets, identifying trends, patterns, and anomalies to drive insights. Develop and manage our data analytics platform Looker. Your Expertise Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field, or equivalent professional experience. At least 4 years of experience in analytics or business intelligence, including proficiency with data visualization tools such as Looker or Tableau. Proven expertise in writing, optimizing, and utilizing SQL queries within a business context. Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments. Strong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence. Ability to perform rigorous data analysis when needed to support high-impact business and product decisions. Effective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision-making across teams. Nice to Haves Experience using dbt, Airflow, or other modern ELT/ETL workflows. Experience leveraging AI/LLM tools (e.g., ChatGPT, Claude Code) to accelerate analytics workflows, including SQL generation, data exploration, and documentation Experience building dashboards and analyses using tools like Hex, Jupyter, or other reproducible notebook platforms Proficiency in Python, R, or similar progr