Senior Analytics Engineer

Senior Analytics Engineer
Attentive Mobile, Inc. (New York, NY)

Job Duties:

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; and Provide mentorship and actionable feedback to junior analytics engineers, contribute to code reviews, and improve team standards to elevate overall analytics quality and consistency.

Telecommuting: 100% Remote;
Must reside in U.S.;
Reports to HQ in New York, NY.

Salary: $144,414 - $183,000 per year

Minimum Requirements:

Bachelor’s degree or U.S. equivalent in Business Analytics, Mathematics, Statistics, Finance, Data Science, or a related field, plus 4 years of professional experience as a Business Intelligence, Data Analytics, or any occupation, job title, position in data analytics or business intelligence, involving data analysis, data modeling, reporting, and dashboards.

Must also have the following experience: 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;

and 2 years of professional experience presenting analytical findings to technical and nontechnical stakeholders.