Data Analyst (Management Analyst)

King County Housing Authority (KCHA) is actively seeking a skilled professional for the position of Data Analyst (Management Analyst) to help inform agency learning, planning, and decision-making using data insights. In this pivotal role, you will lead and/or contribute to data and policy analysis, and program evaluations. You will produce data summaries, model the impacts of policy and program changes, and create dashboards, visualizations, and maps that increase understanding of KCHA services and impact. We're searching for an individual with experience facilitating applied data and policy analysis projects, strong communication and presentation skills, and a track record of effective project management. This work is performed under the general direction of the Senior Manager of Research & Evaluation. 

This role goes beyond data - it's about translating complex findings into practical recommendations and driving positive change. If you possess the qualifications we are looking for and have a passion for using data to drive social justice and continuous improvement, we invite you to apply. 

Let's shape the future together! King County Housing Authority (KCHA) is the largest provider of affordable housing in the Pacific Northwest and a nationally recognized leader in affordable housing. To learn more about KCHA and our Mission visit this link.

Please note this position is open until filled; however, to ensure consideration applications should be received by June 22, 2026, at 4:30 p.m. 

Data Analysis 

• Lead and/or support data analysis projects that inform policy decisions and programmatic strategies, with a focus on improving organizational strategy and outcomes for low-income populations. 
• Respond to requests from staff and leaders for data summaries. 
• Assemble data and perform analyses using large internal, market, survey, and public datasets to assess program performance, identify trends, and generate actionable insights. Most analyses will be descriptive, though some may use predictive or inferential methods. Typical analyses call for calculating frequencies, averages, and changes over time in to understand resident characteristics, experiences and program impacts.  
• Build or use cost and impact modeling tools, analysis approaches, and dashboards to support decision-making, including decisions with financial or strategic implications; develop and implement new methods to analyze and review data to increase usefulness, understandability, and efficiency for staff. For example, you may be asked to build an interactive dashboard displaying key measures of specific programs or to summarize and disaggregate financial implications of policy changes under consideration 
• Conduct background research and policy/landscape analyses pertaining to housing, public assistance, homelessness, other social policy topics, and to relevant data sources and research/analytic methodologies. 
• Understand and leverage the broader data landscape (e.g. publicly available data) to inform program and policy analysis. 

 Data Presentation and Reporting 

• Develop clear and compelling data summaries and visualizations, maps, presentations, reports, and briefing materials for diverse audiences including agency leadership, board members, and/or external partners. 
• Present methodologies, findings, and insights  to staff, leadership, board members, and/or external audiences. 
• Represent Authority at community, professional, and/or partnership meetings. 

Collaboration, Technical Support and Guidance 

• Manage and enhance data tools, analysis plans, and data documentation to support transparency and operational efficiency. 
• Provide data-related technical guidance to analysts and other staff, including program teams. 
• Support data-related agency learning and capacity-building initiatives, such as developing learning materials or facilitating group discussions. 
• Collaborate effectively with cross-functional teams, including operational staff, analysts, and leadership, to ensure data-driven insights are actionable and aligned with program goals. 

Required Qualifications 

• Associate's degree with coursework in public administration, public policy, statistics, economics, sociology, organizational development, or related field, AND 
• Moderate experience conducting applied quantitative data analysis in a public, social policy, or related research setting (e.g., government, nonprofit, academic, or mission-driven organizations), OR 
• Equivalent combination of education and experience that provides the necessary knowledge, skills, and abilities to perform the essential functions of this position. 
• Prior experience conducting applied data analysis in the housing or social policy sectors is strongly preferred. 

Required Knowledge, Skills, and Abilities 

• General knowledge of affordable housing policy, programs, and research and/or related social policy areas (e.g., homelessness, public assistance, health, education, workforce development). Knowledge relating to subsidized housing programs including public housing, Housing Choice Vouchers, and project-based rental assistance is ideal, as is knowledge of the affordable housing landscape and/or public assistance programs in Washington State. 
• General knowledge of quantitative analysis methods; experience designing and conducting applied data analysis, policy analysis, and/or evaluation. 
• Familiarity in working with large administrative and publicly available data sets and in conducting statistical analyses. Familiarity with HUD data is ideal. 
• Ability to develop data visualizations and dashboards to support operational and strategic decision-making. 
• Ability to analyze and interpret large data sets, develop sound conclusions, and convey findings in accessible ways to both technical and non-technical audiences through clear, concise, and complete reports, summaries, visualizations, and presentations. 
• Technical proficiency in data analysis skills including writing analytical code in Stata or R and developing dashboards using PowerBI; experience with spatial data analysis using ArcGIS is ideal but not required. 
• Project management and organizational skills, with the ability to manage multiple priorities, meet deadlines, and work effectively in a fast-paced environment. 
• Strong written and verbal communication skills, including the ability to present research and policy findings to staff, community stakeholders, and the public. 
• Ability to ensure legal and regulatory compliance through accurate interpretation of applicable governing policy. 
• Ability to foster collaborative relationships with internal teams, external partners, and individuals of diverse backgrounds. 
• Knowledge of equity-centered evaluation and learning practices. 
• Experience collecting data (e.g. survey design and administration) is ideal. 

Special Requirements: 

• Consent to and pass required assessments. 
• Consent to and pass a criminal records background check. 
• The successful candidate will need to have access to reliable transportation to meet the business needs of the Agency. 

Application Requirements:
To be considered for this opportunity, you must:

• Complete the online application profile in its entirety.
• Upload a cover letter that addresses how your experience and education qualifies you to perform the essential functions listed in the job announcement. (Cover Letter)
• Upload a detailed résumé of all educational and professional experience. (Résumé)

This work is sedentary and requires little to no exertion of force; work regularly requires sitting, speaking or hearing and using hands to finger, handle or feel, frequently requires repetitive motions and occasionally requires walking; work has standard vision requirements; vocal communication is required for expressing or exchanging ideas by means of the spoken word; hearing is required to perceive information at normal spoken word levels; work requires preparing and analyzing written or computer data; work has no exposure to environmental conditions; work is generally in a moderately noisy location (e.g. business office, light traffic).