Senior Analytics Engineer
New
A
AttentiveMarketing technology
100% Remote; Must reside in U.S.Full-TimeSenior
Salary$144,414 - $183,000 per year + equity
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Job Details
- Experience
- 4 years of professional experience in data analytics or business intelligence, including 4 years in SQL, dashboarding and reporting, and data analysis; 3 years in data modeling; and 2 years in data infrastructure, cross-functional analytics requirements, and presenting findings.
- Required Skills
- SQLData AnalysisTableauData modelingdbtLookerReporting
Requirements
- Bachelor’s degree or U.S. equivalent in Business Analytics, Mathematics, Statistics, Finance, Data Science, or a related field.
- 4 years of professional experience as a Business Intelligence, Data Analytics, or other data analytics or business intelligence professional.
- 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 Looker or Tableau.
- 4 years of professional experience analyzing large datasets to identify trends, patterns, and anomalies and support business decision-making.
- 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 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.
Responsibilities
- Build robust, executive-facing dashboards to support business and operational decisions.
- Design, build, and maintain scalable data models, semantic layers, and reporting datasets using dbt, Looker, SQL, and related tools.
- Analyze large datasets using data modeling, statistics, and other analytical techniques to identify trends, patterns, and anomalies.
- Develop and manage the data analytics platform Looker.
- Own analytics initiatives from requirements gathering through implementation, 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.
- Resolve data quality issues through validation checks and improvements to data reliability, analytics processes, and tooling.
- Document metrics, data models, dashboards, business logic, and analytics workflows.
- Mentor junior analytics engineers, contribute to code reviews, and improve team standards.
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