- Create SQL‑based data models in dbt, refactoring legacy code and building new transformations to meet business requirements.
- Develop and manage Argo Workflows and complex DAGs to define data pipelines.
- Perform quantitative and qualitative research on disparate data sets to understand sources, governance, and use cases.
- Implement tests for data quality and integrity with data consumers.
- Serve as a data subject matter expert and assist teams in interpreting transformed data.
- Maintain version control documentation for data assets.
- 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 quality and efficiency.
- Act as a bridge between data engineers and data analysts.
- Collaborate with engineers, data analysts, data scientists, program managers, and external stakeholders to troubleshoot problems and proactively create solutions.
- Take ownership of task areas and resolve challenges independently to deliver accurate products on short deadlines.
- Provide input on the long‑term vision for the platform.
- Complete other reasonable tasks as 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 manipulating data using SQL, Python, and dbt.
- Experience with workflow execution engines such as Airflow or Argo Workflows.
- Experience optimizing data models for query efficiency.
- Ability to research business logic of ingested data and build derivative data products independently.
- Curiosity and a desire to understand coworker work upstream and downstream of your work.
- Interest in investigating problems, solving puzzles, and proposing solutions that improve technical performance and end‑user satisfaction.
- Comfort working independently to drive portions of larger projects with organization goals and sound judgment.
- Experience in an Agile work environment, reviewing others' work, and strong grasp of version control (git).
- Passion for applying skills to our social mission and collaborating within a cross‑functional team environment.
- Ability to attain and maintain a Federal Public Trust security clearance; requires U.S. citizenship or residency for 3 of the past 5 years (36 of the past 60 months). Resumes should specify residency information for the past 5 years of experience.
- Experience working with Medicare data and systems.
- Salary: $85,000
- Premier health, dental, and vision insurance plans
- 401K matching
- Unlimited paid time off
- Paid personal and volunteer leave
- 13 paid holidays
- 15 weeks paid parental leave
- Professional development stipend & tuition reimbursement
- Macbook Pro laptop & tech accessories
- BYOD stipend for mobile device
- Employee Assistance Program (EAP)
- Supportive & collaborative culture
- Flexible working hours
- Pre‑tax transportation options to our office in Washington, DC
- Lunches and snacks
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Manager I, Analytics - Washington - Inroads
Description
About Inroads
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 how they deliver complex services at scale.
About The Role
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 support a team to create robust data models, troubleshoot issues, improve documentation, ensure data quality, and manage data automation. You 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.
In This Position You Will
What We Are Seeking
You May Also Have Experience
What We Offer
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Industries
Collection Of Personal Information Notice
As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.
EEO Statement
At Inroads, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veteran statuses, disabilities and any other protected classes are strongly encouraged to apply. Inroads endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. Inroads participates in E‑verify. EEO is the Law.
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