The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.
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!
About the Role
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, exec-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 Code) 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.
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 $110,000 - $155,000 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.
Attentive New York, New York, USA Office
136 Madison Avenue, New York, NY, United States, 10016
Similar Jobs
Agency • Consumer Web • eCommerce • Social Media
Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.
Top Skills:
Ad PlatformsBigQueryClaude CodeCloud FunctionsCloud RunCloud SchedulerCursorDbtDbt CloudGa4GCPGeminiGemini Enterprise Agent PlatformGitIamLlm ApisLooker StudioNext.JsPub/SubPythonReactSecretsService AccountsShopifySQLVertex AiWorkflows
Fintech • Financial Services
Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.
Top Skills:
DatafoldDbtFivetranPythonRedshiftSnowflakeSQLTableau
Edtech • Information Technology • Software
Designs, builds, and operates ELT data pipelines and analytical datasets for Platform Analytics. Curates and models source data into conformed datasets, ensures performance, reliability, and cost efficiency, contributes to target-state architecture, mentors junior engineers, and uses AI coding tools to accelerate development and delivery.
Top Skills:
Ai Coding ToolsApache AirflowCdcCi/CdClickhouseDbtEltGitKafkaSnowflakeSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
