Analytics Engineer
Strada Education Foundation
Salary
Salary: $90,000 - $110,000 a year
The Analytics Engineer is part of a remote work team that is responsible for real-time business metrics aggregation, data warehousing and querying, schema and data management as well as a number of other analytics infrastructure systems. The incumbent, along with the remote work team, will strive to architect, develop, and deploy world-class data systems to empower every tier of our mission-driven company, as well as build scalable systems that enable self-service access to sophisticated data and analyses.
Essential Job Functions:
- Design, build, and maintain data models foundational to the company’s internal and client-facing reporting and analytics.
- Investigate bug root causes and implement fixes.
- Design, build, and support a data warehouse for the company’s business.
- Create and support various ELT scripts, jobs, and technologies.
- Tune and optimize data storage technologies.
- Review pull requests and test team member’s code and features.
- Interact with data analysts and power users to define metrics to build data models.
- Collaborate with team members to remove blockers and design new features.
- Function as data expert to advise users on the usage of structured and unstructured data.
- Support APIs, tools, and 3rd party products to extract data from Cloud/SaaS applications.
Education Requirements:
- Bachelor’s degree in Computer Technology, Information Systems or related field (preferred)
Experience Requirements:
- Minimum of two (2) years of applicable work experience
- Knowledge and experience with data warehousing architecture and data modeling best practices
- Ability to build and optimize data sets and architectures Experience with cloud base data warehousing such as Snowflake
- Ability to clean and transform data for use in analytics and reporting
- Exposure to one or more EL tools and a solid understanding of pipelines; understanding of third-party data integration tools such as Fivetran, Stitch
- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
- Expert knowledge of SQL
- Experience with dbt
- Excellent analytic skills associated with working on structured datasets
- Care deeply about data quality and governance; able to document data and definitions
- Experience with Github and CI/CD practices
- Experience working in an Agile software development environment that is highly collaborative
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement
- Able to prioritize, work independently in a less structured, remote work setting
- Team player and receptive to giving and receiving feedback, with the ability to effectively collaborate with and communicate complex topics to an audience of diverse backgrounds and skills
Experience Preferences:
- Background and experience in higher education
- Experience with Looker and LookML
- Experience with Salesforce Education Data Architecture
- Experience with Infrastructure as code such as Terraform