Senior Analytics Engineer
United States
- Pay
$144,414–183,000/year · Base — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild executive-facing dashboards for business and operational decisions
Design and maintain data models, semantic layers, and reporting datasets in dbt and Looker
Analyze large datasets to find trends, patterns, and anomalies
Own end-to-end delivery of analytics engineering initiatives
Mentor junior analytics engineers and review their code
From the employer’s posting
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
Own end-to-end delivery of analytic engineering initiatives across functional domains
Provide mentorship and actionable feedback to junior analytics engineers, contribute to code reviews
Education & alternatives
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:
Tools in this posting
- SQL
- dbt
- Looker
- Tableau
Source — Tool mentions in context
- 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
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 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
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 3
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
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Job description
- 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
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- Pay
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
- Location & working pattern
United States
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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