Joblaze summary

In this role, the Senior Analytics Engineer at Attentive Mobile focuses on building and maintaining executive dashboards that inform critical business decisions. Proficiency in SQL, Looker, and data modeling is essential, as the engineer will analyze large datasets to uncover insights and ensure data quality. This position is ideal for someone with significant experience in data analytics and business intelligence, particularly in collaborative environments with cross-functional teams. Attentive's commitment to a diverse and inclusive workplace enhances the collaborative culture within the team.

Joblaze insights

Listed 2 days ago — first seen on Joblaze October 29, 2026. Last confirmed on Attentive Mobile's careers page October 31, 2026.
Salary band is below the typical range for Data Engineering roles (median ~$180,656).
Starts above 13% of 72 comparable senior data engineering roles in United States that list SQL we track (median $180,000 across 35 companies). See SQL salary trends
SQL appears in 47.3% of 220 comparable senior data engineering roles in United States; data modeling appears in 0.9% of 220 comparable senior data engineering roles in United States.

Quick facts

Is the Senior Analytics Engineer role remote?: Yes — Attentive Mobile lists this as a fully remote position.
What's the salary range?: Attentive Mobile lists $144,414–$183,000 for this role.
How much experience is required?: 4–4 years of relevant experience for this Senior Analytics Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Data Analysis, Looker, SQL, data modeling, dbt.
What seniority level is this role?: Attentive Mobile targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Analytics Engineer role at Attentive Mobile.

From the original posting

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.

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.

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

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

How to Apply: www.attentivemobile.com/careers#jobs or via email to careers@attentivemobile.com. Must specify Ad Code WNJG

For US based applicants:

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

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Attentive Company Values

Standard company text repeated across Attentive Mobile's postings is omitted here.

Senior Analytics Engineer

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