Senior Data Analytics Engineer - Data Insights

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analytics Engineer - Data Insights based in the United States.
This role is focused on building and scaling a trusted, company-wide data foundation that enables high-quality decision-making across all business functions.


The position plays a central role in transforming raw data into reliable, structured, and actionable insights using modern data engineering and analytics practices.


It involves designing and maintaining scalable data models, metrics layers, and analytical datasets within a cloud-based data warehouse environment.


The role collaborates closely with data engineers, analysts, and business stakeholders to define consistent KPIs and ensure data accuracy and usability.


It requires strong technical expertise combined with a product-minded approach to analytics, enabling self-service reporting and experimentation at scale.


This is a high-impact opportunity within a fast-moving remote organization where data directly influences strategic decisions.


Accountabilities

- Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices in cloud data warehouse environments.
- Develop and standardize core business metrics and dimensions to enable consistent, self-service analytics across the organization.
- Partner with cross-functional stakeholders to understand decision-making needs and translate them into reliable analytical data products.
- Implement and optimize data transformations using tools such as dbt, ensuring high data quality, performance, and maintainability.
- Build and evolve semantic layers and KPI frameworks that support dashboards, reporting, experimentation, and advanced analytics use cases.
- Define best practices for data modeling, metric definitions, and analytics engineering standards across teams.
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