- 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 [email protected]. 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
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Skills Required
- 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 business intelligence, data analytics, data analysis, data modeling, reporting, or dashboards
- 4 years of professional experience writing, optimizing, and using SQL queries to analyze large datasets
- 4 years of professional experience designing, building, and maintaining business intelligence dashboards and reports using Looker or Tableau
- 4 years of professional experience performing data analysis to identify trends, patterns, and anomalies in large datasets
- 4 years of professional experience developing dashboards or reports for business and operational decision-making
- 3 years of professional experience designing and maintaining data models for analytics and reporting
- 2 years of professional experience working with ETL/ELT processes, data infrastructure components, 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
- Must reside in the United States
Attentive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Attentive and has not been reviewed or approved by Attentive.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, plus a fully covered One Medical membership and mental health resources. Employer-paid options and added wellness stipends indicate strong support for physical and mental wellbeing.
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Equity Value & Accessibility — Equity grants are described as significant and a meaningful component of total compensation. Market-value cash pay paired with stock helps position overall packages as competitive.
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Parental & Family Support — Generous paid parental leave, fertility and family-forming benefits, and supports such as Milk Stork and travel reimbursement for necessary medical care are offered. These provisions signal robust support for families across different needs.
Attentive Insights
What We Do
Attentive® knows personalized customer experiences require both powerful technology and the right people behind it. Our intelligence layer and agentic AI unify customer profiles and act on real-time data, giving marketers what they need to turn messages into moments across SMS, email, RCS, and push.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
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