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Analytics Engineer
Location
United States
Posted
152 days ago
Salary
$90K - $110K / year
Seniority
Mid Level
Job Description
Analytics Engineer
Strada Education Foundation
• 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.
Job 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
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• Own the design and maintenance of our Data Warehouse. • Build clean, performant, and reliable data models (using SQL and dbt) that serve as the 'single source of truth' for the company. • Design the data architecture specifically for high-stakes domains: Finance and Revenue Operations. You will ensure that the numbers reported to the board match the numbers in our BI tools. • Manage and optimize data pipelines (ETL/ELT) to ingest data from business and product applications into our warehouse. • Debug data failures and implement automated testing to catch data quality issues before they reach the dashboard. • Act as the technical partner to the Finance and RevOps teams. You will attend their meetings, understand their strategic goals, and translate their requirements into technical specifications. • Proactively identify gaps in our data collection strategies and work with Engineering/Product to ensure we are capturing the right data upstream.
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