Senior Analytics Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-10-27). Last seen at its source 1h ago.
We have tracked this listing since 27 Oct 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Must reside in U.S.…
Pay
$144.4k–183k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 6d ago · last seen 1h ago
The listing
- 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
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