Attentive Senior Analytics Engineer at Attentive to build scalable data models and executive dashboards supporting business decisions. Own end-to-end delivery of analytic engineering initiatives and mentor junior engineers.
Responsibilities
Build robust, executive-facing dashboards to support key business and operational decisions across the organization
Design, build, and maintain scalable data models, semantic layers, and reporting datasets using dbt, Looker, SQL, and related tools
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
Own end-to-end delivery of analytic engineering initiatives across functional domains, from requirements gathering through implementation, proactively managing timelines, dependencies, and stakeholder communication
Partner with product, engineering, business intelligence, finance, operations, and other stakeholders to define metrics, analytics requirements, reporting solutions, and data quality expectations
Identify and resolve data quality issues by implementing validation checks, improving data reliability, and driving enhancements to analytics processes and tooling
Create and maintain documentation for metrics, data models, dashboards, business logic, and analytics workflows to improve consistency and usability across teams
Provide mentorship and actionable feedback to junior analytics engineers, contribute to code reviews, and improve team standards to elevate overall analytics quality and consistency.
Qualification
Required
4 years of professional experience writing, optimizing, and using SQL queries to analyze large datasets and support reporting and analytics
4 years of professional experience designing, building, and maintaining business intelligence dashboards and reports using data visualization tools including Looker or Tableau
4 years of professional experience performing data analysis to identify trends, patterns, and anomalies in large datasets and support business decision-making
4 years of professional experience developing dashboards or reports to support business and operational decision making
3 years of professional experience designing and maintaining data models to support analytics and reporting
2 years of professional experience working with data infrastructure components, including ETL/ELT processes and analytics platforms
2 years of professional experience collaborating with product and engineering teams to define analytics requirements and reporting solutions
2 years of professional experience presenting analytical findings to technical and nontechnical stakeholders
The US base salary range for this full-time position is $144,414 - $183,000 per year. annually + equity + benefits
Our salary ranges are determined by role, level and location
