Analytics Engineer

Analytics Engineer

Location: Los Angeles, California

Salary: $95,000 - $150,000 per year, exempt

Organization Overview

Founded in 2004, Brilliant Corners provides innovative housing and housing-related services to California's most vulnerable individuals, with an emphasis on those transitioning from, or at risk of, homelessness or institutionalization. We develop, own, and manage multi-family supportive housing and licensed residential care homes. We implement a broad array of scattered-site, one-on-one supportive housing, and clinical case management programs through partnerships with developmental services, homeless services, veterans' services, and health care sectors.

In short, we do good work.

We have offices statewide with a staff of passionate people. While we are growing rapidly, we are also selective: We're seeking inspired, talented people who want to be effecting profound change and who have fun doing it.

Position Summary

The Analytics Engineer is responsible for data consolidation and maintenance across the organization's data infrastructure and various data sources. The engineer works with Data Analysts and other business units to create data models and to build and maintain a cloud data infrastructure. Their work will support recurring and ad-hoc reporting, dashboard creation and maintenance, and data requests from internal and external stakeholders. The Analytics Engineer will also build business intelligence tools to help data analysts do their work more efficiently, such as improved or automated data clean up processes and a self-service analytics platform. They will also collaborate with the Product Development team and IT Operations team on data infrastructure and integration projects focused on transforming data and supplying data between operational systems to meet business needs. Lastly, they are responsible for using best practices to maintain version control and perform internal testing and deploy production-ready code.

Position Responsibilities

Design, develop, implement, and maintain data models used for reporting and analytics.

Work with Data Analysts and other business teams to identify and develop ETL/ELT processes to automate, orchestrate, and maintain data pipelines.

Maintain data documentation and definitions, including data quality standards and business logic for metrics/KPIs, naming and formatting conventions and detailed specifications/documentation for analytics code.

Maintain version control for, test, and continuously integrate analytics code into testing and production environments.

Monitor data models and pipelines to ensure performance meets internal service level agreement.

Collaborate with Data Analysts to build dashboards and visualizations that show trends, patterns, and outliers in the data pipeline and models. As well as, maintain current inventory of reports and dashboards and publish this information to business users.

Work with Product Development and other business teams to consolidate and integrate data from and between multiple data sources (such as Salesforce, Financial Systems, HRIS, and other data sources).

Maintain and update (as necessary) existing integration infrastructure, with a focus on streamlining and consolidating processes.

Help evaluate and validate new and existing tools or development needs to suggest improvements and streamline operations.

Support updates/upgrades, configuration and troubleshooting for business intelligence tools.

Help coach Data Analysts on software development best practices.