Senior Analytics Engineer

Attentive; United States; On-site; USD 110,000 - 155,000; Full time

Benefits offered by this job

Health and wellness benefits

Equity options

Competitive salary

Job summary

Attentive is seeking a Senior Analytics Engineer to design and maintain data models and pipelines. This role focuses on collaboration with engineering teams to optimize data infrastructure for improved reporting and analytics.

The ideal candidate will have over 4 years of experience and proficiency in SQL and data visualization tools like Looker. A strong data analysis background is crucial for driving business insights and informed decision-making.

Qualifications

• At least 4 years of experience in analytics or business intelligence.
• Proven expertise in writing and optimizing SQL queries.
• Effective communication skills for presenting analysis results.

Responsibilities

• Define analytics requirements and metrics with cross-functional teams.
• Build robust dashboards for key business decisions.
• Use data modeling and statistics to extract and analyze data.

Skills

SQL proficiency

Data visualization tools

Data analysis

Project management

Education

Bachelor’s degree in Computer Science or related field

Tools

Looker

Tableau

Python

Job description

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.

Our Business Intelligence team transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high‑performance, high‑impact environment.

As a Senior Analytics Engineer, you will design, build, and maintain the data models, pipelines, and semantic layers that power analytics, reporting, and decision‑making across Attentive. Partnering closely with cross‑functional engineering teams, you will interpret complex data, optimize data infrastructure, and drive efficiency across the organization. The ideal candidate thrives on collaborating with diverse teams, delivering actionable reporting, and excelling in fast‑paced, dynamic environments.

What You’ll Accomplish

• Engage with cross‑functional product and engineering teams to define analytics requirements and metrics.
• Build robust, executive‑facing dashboards to support key business decisions across the organization.
• Design, build, and maintain scalable dbt and Looker data models that support analytics, reporting, and domain ownership.
• 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.

Your Expertise

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, or related field, or equivalent professional experience.
• At least 4 years of experience in analytics or business intelligence, including proficiency with data visualization tools such as Looker or Tableau.
• Proven expertise in writing, optimizing, and utilizing SQL queries within a business context.
• Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments.
• Strong ability to manage and execute fast‑paced, dynamic projects with a high degree of organization and independence.
• Ability to perform rigorous data analysis when needed to support high‑impact business and product decisions.
• Effective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision‑making across teams.

Nice to Haves

• Experience using dbt, Airflow, or other modern ELT/ETL workflows.
• Experience leveraging AI/LLM tools (e.g., ChatGPT, Claude) to accelerate analytics workflows, including SQL generation, data exploration, and documentation.
• Experience building dashboards and analyses using tools like Hex, Jupyter, or other reproducible notebook platforms.
• Proficiency in Python, R, or similar programming languages for data analysis and statistical modeling.
• Experience contributing to or establishing modeling standards, testing frameworks, or CI/CD workflows for analytics code.

Compensation

• U.S. based applicants: base salary range $110,000 – $155,000 annually + equity + benefits.
• Salary ranges are determined by role, level, and location.

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

If you do not meet all the requirements listed here, we still encourage you to apply! We may also have other opportunities that closely match 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.