Manager , Analytics

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Inroads applies data, analytics, technology, research, and content development to co-create services and programs that are personalized, relevant, and engaging for the communities who rely on them. Our deep understanding of digital services, policy implementation, and ways communities consume information allows us to seamlessly integrate with organizations and public sector teams to revolutionize the ways they deliver complex services at scale.

As Manager I, Analytics, you will work with a team of analysts, data scientists, and engineers to drive high‑impact results for millions of Americans. This role will play an instrumental role supporting a team to create robust data models, troubleshoot issues, improve documentation, ensure data quality, and manage data automation. They will have a key role in managing a data platform that supports web applications via APIs as well as analytics workflows built by data analysts and data scientists.

Your track record should reflect domain knowledge in data modeling and ingestion, including experience adapting to changing technologies, business logic, and client priorities. The project’s broad goal is improving the authenticated (logged‑in) experience of beneficiaries interacting with information about their healthcare coverage, constituent beneficiary identification and communication, and database maintenance and development.

• Create SQL‑based data models in dbt. This includes working with data engineers, data scientists, and data analysts to refactor legacy code and build new data transformations that meet business requirements for clients and consumers.
• Develop and manage Argo Workflows and complex DAGs to define data pipelines, including constituent tasks and dependencies.
• Perform both quantitative and qualitative research on disparate data sets to understand sources, governance, and use cases, informing the design, validation, and documentation of data models.
• Implement tests for data quality and integrity in collaboration with data consumers.
• Serve as a data subject matter expert and assist teams in the interpretation and use of transformed data.
• Investigate data discrepancies to identify patterns and find solutions.
• Optimize existing code and workflows for performance and efficiency.
• Collaborate with the analytics team to build analytical processes and tools that improve the quality and efficiency of the team’s work.
• Act as a bridge between data engineers and data analysts.
• Work with engineers, data analysts, data scientists, program managers, and external stakeholders to troubleshoot problems and proactively create solutions.
• Take ownership of task areas and strive to independently resolve challenges to deliver accurate products on short deadlines.
• Provide input on the long‑term vision for the platform.
• Complete other reasonable tasks as may be assigned by management.

• 5+ years of applied experience working with structured/unstructured data.
• An undergraduate degree or higher in a quantitative field or equivalent technical training.
• Strong understanding of how to manipulate data using SQL, Python, and dbt.
• Experience working with workflow execution engines, such as Airflow or Argo Workflows.
• Experience optimizing data models for query efficiency.
• Ability to deeply research both the business logic of ingested data and of derived data products, with comfort in independent discovery.
• Curiosity and a desire to understand what coworkers are doing both upstream and downstream of your work.
• Interest in investigating problems, solving puzzles, and finding patterns in complex data, as well as proposing solutions that improve technical performance and end‑user satisfaction.
• Comfort working independently to drive portions of larger projects, using organizational objectives and sound judgment.
• Experience working in an Agile environment, reviewing others’ work, and strong grasp of version control (e.g., git).
• Passion for applying your skills to our social mission to solve problems and collaborate within a cross‑functional team environment.
• Ability to obtain and…