Senior Analytics Engineer

The New York Times Company; New York (NY); Remote; USD 144,000 - 183,000; Full time

Benefits offered by this job

Remote work (100% remote)

Job summary

Attentive Mobile, Inc. is seeking an Senior Analytics Engineer to build robust, executive-facing dashboards and scalable data models using Looker, SQL, and dbt.

You will own end-to-end analytic initiatives, partnering with product, engineering, finance, and operations to define metrics and data requirements. You will analyze large datasets to identify trends, validate data quality, and deliver reliable analytics solutions.

Qualifications

• Bachelor’s degree or U.S. equivalent in Business Analytics, Mathematics, Statistics, Finance, Data Science, or a related field.
• 4 years of professional experience in BI, data analytics, or equivalent roles.
• Experience writing and optimizing SQL for large datasets.

Responsibilities

• Build executive-facing dashboards to support business decisions.
• Design and maintain scalable data models, semantic layers, and reporting datasets.
• Develop and manage the analytics platform Looker and related tooling.
• Own end-to-end delivery of analytic initiatives across domains with stakeholder coordination.

Skills

SQL querying

Looker dashboards

Data modeling

Stakeholder comms

ETL/ELT

Tableau

Education

Bachelor's degree or U.S. equivalent

Tools

Looker

Tableau

dbt

Job description

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.