Senior Analytics Engineer

Attentive is hiring a Senior Analytics Engineer. It pays $144k-$183k a year and Level rates it ; you can apply on Attentive.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include dbt, Looker and SQL.
Level classifies it as a senior role.
Level lists 30 other open roles at Attentive.
The role was posted within the past week.

AI in this role

Build robust analytics engineering solutions, data models, and executive dashboards to support business decisions.

dbtlookersql

data-modelinganalyticsbusiness-intelligencedata-quality

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. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!

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

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

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

#LI-DNI

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

How we rate this

Senior Analytics Engineer at Attentive rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Analytics Engineer is an open job at Attentive.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $144k-$183k a year.
The role is based in United States.
The job was posted on October 27, 2026.
Seniority: senior.
Applications are handled by Attentive. Apply on Attentive

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModelingAnalyticsBusiness IntelligenceData QualitydbtLookerSQL

Questions you could be asked

Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Walk me through how you've used dbt in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Modeling, Analytics, Business Intelligence, Data Quality, and dbt. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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