Data Analysis Manager

Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None Public Trust/Other Required:
BI Full 6C (T4)
Job Family:
Data Science and Data Engineering Job Qualifications:
Skills:
Analytical Thinking, Data Analytics, Team Leadership Certifications:
None Experience:
5 + years of related experience US Citizenship Required:
Yes
Job Description:
Data Analytics Manager

The Data Analytics Manager will lead a remote, cross-functional team of data analysts, systems analysts, and data scientists delivering analytics products, data systems, dashboards, and decision-support tools for federal programs, including initiatives serving refugee, immigrant, and social service populations.

This role combines technical project management, analytics leadership, stakeholder engagement, and systems oversight. The manager will guide the development of modern data platforms and products, support automation and advanced visualization, promote predictive and proactive decision-making, and ensure projects are delivered on time, within scope, and with high quality.
Key Responsibilities

- Manage delivery of data and analytics projects, including dashboards, data products, reports, documentation, platform enhancements, and system upgrades.

- Develop and maintain project plans, resource plans, deliverable schedules, and risk and issue logs.

- Advise clients and stakeholders on priorities, tradeoffs, resource needs, and delivery timelines.

- Serve as the primary technical liaison for data, analytics, and reporting initiatives.

- Lead requirements-gathering sessions, present findings, and review deliverables with senior stakeholders.

- Translate business, operational, and policy questions into effective analytical approaches and data products.

- Oversee the design and deployment of Tableau and/or Power BI dashboards that provide actionable insights and support self-service analytics.

- Lead scalable data preparation, integration, and automation efforts using tools such as SQL, R, Python, Tableau Prep, ETL/ELT tools, and Databricks.

- Guide the use of statistical methods, modeling techniques, geospatial analysis, and advanced visualization to answer complex program questions.

- Validate models, metrics, and analytical approaches to ensure accuracy and relevance.

- Foster innovation by piloting new tools, modernizing workflows, and promoting continuous improvement.

- Lead and mentor a geographically distributed team of senior analysts and data scientists.

- Provide technical direction, performance guidance, and support for staff development.

- Promote strong practices in data intake, validation, analysis, visualization, documentation, and dissemination.

- Ensure rigorous quality assurance for dashboards, datasets, reports, and technical documentation.

- Oversee metadata, data dictionaries, and reference documentation to support data governance, transparency, and reuse.

- Coordinate recurring leadership reporting, cross-program analyses, and urgent or ad hoc data requests.

- Stay current on emerging analytics, visualization, and data platform tools and recommend adoption where appropriate.

Required Education

Bachelor’s degree in a technical, quantitative, or related field, such as Data Science, Statistics, Computer Science, Information Systems, Mathematics, Economics, or Public Policy with a quantitative focus.
Required Qualifications

- 5+ years of experience interpreting and analyzing quantitative and qualitative data in complex environments.

- 3+ years managing data, analytics, business intelligence, product, or technical projects; Agile or iterative delivery experience preferred.

- 3+ years of supervisory, team lead, project management, program management, or product management experience.

- Proven ability to manage multiple concurrent projects in a fast-paced environment.

- Strong written and verbal communication skills for both technical and non-technical audien