data
Posted 6 days agoSenior Analytics Engineer
at attentive
United StatesOn-site
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Responsibilities
- 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
- Develop and manage our data analytics platform Looker Your Expertise
Requirements
- Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect.
- 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.
- 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.
- 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
- 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 programming languages for data analysis and statistical modeling •
- Experience contributing to or establishing modeling standards, testing frameworks, or CI/CD workflows for analytics code
Benefits
- You'll get competitive perks and
- benefits , from health & wellness to equity, to help you bring your best self to work.
- The US base salary range for this full-time position is $110,000 - $155,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location #LI-DNI
Additional details
- We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships.
- 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 .
- 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.
- Engage with cross-functional product and engineering teams to define analytics requirements and metrics
- Use data modeling, statistics, and other analytical techniques to extract and analyze data from large datasets, identifying trends, patterns, and anomalies to drive insights