Senior Analytics Engineer
J
JobgetherBusiness intelligence
Based in the United States; Must reside in the United StatesFull-TimeSenior
SalaryAnnual base salary: $144,414–$183,000, plus equity and benefits.
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Job Details
- Experience
- At least 4 years of professional experience in business intelligence, data analytics, or a related data-focused role; at least 4 years of experience writing, optimizing, and using SQL queries; at least 4 years of experience designing, building, and maintaining business intelligence dashboards and reports; at least 3 years designing and maintaining data models; at least 2 years working with data infrastructure components, including ETL/ELT processes and analytics platforms.
- Required Skills
- SQLBusiness IntelligenceData AnalysisTableauData modelingdbtLooker
Requirements
- Bachelor's degree or U.S. equivalent in Business Analytics, Mathematics, Statistics, Finance, Data Science, or a related field.
- At least 4 years of professional experience in business intelligence, data analytics, or a related data-focused role involving analysis, modeling, reporting, and dashboards.
- At least 4 years of experience writing, optimizing, and using SQL queries to analyze large datasets and support reporting and analytics.
- At least 4 years of experience designing, building, and maintaining business intelligence dashboards and reports using tools such as Looker or Tableau.
- At least 4 years of experience analyzing large datasets to identify trends, patterns, and anomalies and support business decisions.
- At least 3 years of experience designing and maintaining data models for analytics and reporting.
- At least 2 years of experience with data infrastructure components, including ETL/ELT processes and analytics platforms.
- At least 2 years of experience collaborating with product and engineering teams to define analytics requirements and reporting solutions.
- At least 2 years of experience presenting analytical findings to technical and nontechnical stakeholders.
- Strong analytical and problem-solving skills, with the ability to manage projects and collaborate across functional teams.
- Ability to work remotely while maintaining effective communication, accountability, and ownership of deliverables.
Responsibilities
- Build and maintain executive-facing dashboards for strategic, business, and operational decision-making.
- Design, develop, and optimize data models, semantic layers, and reporting datasets using dbt, Looker, SQL, and related technologies.
- Analyze large datasets to identify trends, patterns, anomalies, and business opportunities.
- Develop, maintain, and manage the Looker analytics platform.
- Lead analytics engineering initiatives from requirements gathering through implementation, managing timelines, dependencies, and stakeholder communications.
- Collaborate with product, engineering, business intelligence, finance, and operations teams to define metrics and analytics requirements.
- Implement validation checks and improve data reliability, analytics processes, and tools.
- Document metrics, data models, dashboards, business logic, and analytics workflows.
- Mentor junior analytics engineers, participate in code reviews, and help establish analytics standards.
- Present analytical findings and recommendations to technical and nontechnical stakeholders.
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