Senior Analytics Engineer

Attentive

15d•$108,120 - $155,000

About The Position

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.

Requirements

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.

Responsibilities

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