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Ewing Marion Kauffman Foundation · 1 day ago

Senior Data Officer

Kansas City, MO

Full-time

Onsite

Senior Level

5+ years exp

The Ewing Marion Kauffman Foundation is a private, nonpartisan foundation that provides access to opportunities that help people achieve financial stability and economic prosperity. The Senior Data Officer will implement data strategy in partnership with the Research, Learning, and Evaluation team, focusing on data analysis to inform policy and local activities.

EducationFinanceSocial Entrepreneurship

Responsibilities

Analyze existing datasets held or licensed by the Foundation and recommend data deliverables while considering: 1) fit with the Foundation’s strategic priorities and research agenda, 2) sustainability, 3) data quality, 4) rigor, and 5) data justice

In partnership with RLE leadership, build strong relationships with local professionals who do 'best-practice' work in institutional research, school accountability, assessment, school attendance and engagement, community data, business licensing, or others who are aligned with our strategic priorities

Recommend data management approaches that inform citywide learning and measure impact

Regularly gather community feedback related to the Foundation’s research and data agenda to identify emerging and ongoing data needs and make adjustments based on this input

Track ad-hoc data requests from external stakeholders, identifying themes, and recommending new data products and deliverables that address consistent needs

Consult about artificial intelligence and automation tools that improve internal and external reporting, and efficiency. This may include vendor landscape analyses to identify vendors who can advance the Foundation’s research and data practices

Support the Foundation’s data strategy and operations while complying with GDPR, FERPA, PII, and CPA standards

Qualification

Data analysisStatistical softwareData visualizationData managementPythonSQLRProject managementAnalytical skillsCommunication skillsTeam collaborationAttention to detail

Required

Bachelors or master's degree in applied data science, computer information systems, or computer science with data science knowledge, required or equivalent years of experience

At least five years of progressive experience in data-driven, applied social science activities, including data science, analytics, visualization and consulting across complex organizations

Demonstrated passion for advancing equitable and transformative solutions for the communities served by the Foundation, with clear alignment to the Kauffman Foundation's credo, racial equity, diversity, and inclusion commitments, and strong ethical judgment

Proven ability to work effectively within and across diverse teams, and with stakeholders at all levels from a wide range of industries and backgrounds

Excellent communication skills, including strong interpersonal, written, and listening abilities; able to distill complex ideas into clear, concise, and actionable recommendations

Strong analytical, critical thinking, and problem-solving skills; able to translate open-ended questions into clear analytical plans and independently produce high-quality analyses, reports, and presentations

Familiarity with industry-standard datasets related to businesses, industries, and employment (e.g. BLS, U.S. Census Bureau, and related federal, state, and local data products, including an understanding of their strengths and limitations

Experience addressing common real-world data issues (e.g., coverage gaps, suppression, small cell sizes, data quality) using practical and defensible approaches; ability to apply an equity lens through appropriate disaggregation and contextualizing findings for impacted communities

Experience conducting quantitative analyses such as descriptive statistics, exploratory data analysis, predictive modeling, and spatial analysis, and translating findings into accessible visual and written outputs

Experience with statistical software, programming languages, and/or business intelligence tools such as R, Python, SQL, and working with APIs; familiarity with cloud environments (e.g., AWS) is a plus

Experience building reproducible analytic workflows (e.g., scripted data pulls via APIs reusable code, version control such as Git, and clear documentation) to support ongoing and repeatable analysis

Proficiency working with disparate datasets and coordinating data from diverse sources; comfort with database structures, data dictionaries, and data documentation

Demonstrated ability to manage multiple projects, prioritize effectively, and meet deadlines, with strong organizational skills, attention to detail, and understanding of project management tools and technology

Strong Excel skills (e.g., formulas, statistical analysis, PivotTables) and proficiency with standard productivity tools (e.g., Microsoft Office, Box, Slack)