Full-Time Analytics Engineer

Analytics Engineer II / IIIBranch is on a mission to make insurance less expensive, so more people can be covered.

We innovate using data, tech, and automation to simplify insurance from start to finish—we eliminated inaccurate quotes in favor of real prices, created a better way to bundle, and cut unnecessary costs in the traditional insurance process. Then we pass those savings along to our members. Basically, we’re doing insurance the way it was meant to be.

About the Analytics Engineer role

In this role, you will report to the Director of Analytic Engineering or Head of the Data Office and support a wide range of architecture, engineering, BI, and other special projects that will serve different needs across the organization. Our team manages, governs, and democratizes data through self-service tools that encourage exploration, innovation, and discovery of insights that enable leaders to make informed decisions and develop strategies to offer a competitive edge for all areas.

Routine Tasks:

• Data Engineering and Analytics Engineering pipeline work (Full-Stack Development)
• Developing and maintaining dashboards, visualizations, and other forms of ad-hoc reporting necessary to support data-driven business decisions and strategies.
• Troubleshooting, diagnosing, and fixing issues within existing data pipelines.
• Validating data and following best practices to guarantee quality, compliance and a positive experience for end users.
• Making recommendations to create an environment where ongoing optimization is an organic part of our development processes.

Data Engineer III Responsibilities:

• Providing hands-on technical expertise, leadership, and support.
• Build views/tables, data models, data dictionaries, and self-service tools with some guidance.
• Ensure data quality is proactively monitored and unwanted changes or defects are proactively prevented and promptly fixed.
• Has broader understanding of how the main project interacts and affects other projects.
• Defines technical best practices and patterns with assistance from senior team members.
• Support processes necessary to bring data into the data lake/warehouse via managed systems (e.g., ETL/ELT).
• Collaborating with leaders to implement, refine and document processes and best practices to improve quality and enhance the functionality of all our self-service tools.
• Learning and understanding how data development works at Branch.

Data Engineer II Responsibilities:

• Providing hands-on technical expertise and support.
• Build views/tables, data models, data dictionaries, and self-service tools with assistance from peers and senior members of the Data Office.
• Ensure data quality is proactively monitored and unwanted changes or defects are proactively prevented and promptly fixed.
• Provides expertise in a project, including understanding of the overall scope, how it interacts with other projects, and how data flows between them.
• Advocates for best practices and adherence to service guidelines.
• Collaborating with leaders to implement, refine and document processes and best practices to improve quality and enhance the functionality of all our self-service tools.
• Learning and understanding how data development works at Branch.

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