We are seeking an experienced Analyst to plan, manage, and execute on a wide variety of  analytic requests from our clients at the National Risk Management Center (DHS CISA). These requests are unique and varied, as is the ideal candidate’s experience and interest.

This is a rewarding and challenging role that requires a proactive and consultative mindset with exceptional proficiency across a diverse blend of skillsets: technical data concepts and programming, clear communication and strategic thinking, data translation and storytelling, writing, and ability to easily and comfortably zoom in and out of analyses at a macro-level down to row-level data validation. The ideal candidate will be comfortable with data modeling, visualization, and using a variety of analytic approaches to help solve complex problems.

This is a full-time, benefits-eligible, remote position through March 2025, with the possibility of extension based on business capacity.

Responsibilities:

• Work collaboratively with external clients to assess drivers of quality, engagement, and utilization

• Identify and quantify potential areas of clinical quality, financial, technical, and operational improvement

• Extract, analyze, and interpret data from many different domains.

• Interface with executive leadership, subject matter experts, end users, technology vendors and various stakeholders to ensure cross-functional buy-in

• Establish highly effective and efficient operating models within complex projects

• Conduct day-to-day ad hoc analyses as needed for our clients

• Ideate, develop and document new processes for ad-hoc data extracts and analysis; develop and maintain reports; identify issues including defects in logic or data quality; capture business requirements including data definitions

Qualifications:

• 3-5 years’ experience in a similar role 

• BA/BS Degree preferred in a quantitative discipline

• Proficiency with modern approaches in data analytics (e.g., statistics, machine learning, econometrics) 

• Solid understanding of at least one programming language with extensive support for data analytics (e.g., Python and/or R preferred) 

• Proficiency with geospatial concepts. Experience with ArcGIS preferred.

• Hands-on experience using and programming data and BI tools, data visualizations tools, querying language (e.g., SQL), statistical software such as Python or R, as well as general health service research and outcomes reporting-analytics

• Ability to learn and engage effectively with new (an often proprietary) technologies— explore and extract data, identify the data story from existing data plus the data gaps, and use this to propose strategic recommendations to clients’ senior leadership

• Comfortable leading internal discussions and external client meetings, with a focus on summarizing and effectively communicating complex data findings to a wider audience 

• Ability to contribute to client-facing dialogue and help stakeholders understand data output while facilitating the development of analytical reporting solutions to meet sometimes vague business needs

• Strong oral and written communication skills 

Nice to Have:

• Experience with multiple business intelligence tools and data mining technologies

• Comfortable working in a fast-paced, dynamic start-up (or similar) environment

• Experience with understanding business context for analytics to help address performance issues, be able to identify and speak to drivers that impact business performance

• Ability to create visually compelling and user-centered presentations or interfaces

• Versed in a variety of technology stacks (Confluence, Jira, Trello, Google, AWS, SAP, Oracle, Microsoft, open source, etc.)

• Ability to obtain DHS Suitability