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 building dashboards and analyses using tools like Hex, Jupyter, or other reproducible notebook platforms
- Experience using dbt, Airflow, or other modern ELT/ETL workflows
- 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.
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
Top Skills
What We Do
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
Gallery

.png)






