Senior Data Officer

* Specific

Responsibilities Include:

** 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.
** RESPONSIBILITIES
* * Reporting directly to the Director of Research, the Senior Data Officer (SDO), implements data strategy as developed in partnership with the Research, Learning, and Evaluation (RLE) team, and operationalizes data analysis to inform policy and local activities. This role works closely and collaborates with other RLE team members and Foundation associates, in alignment with the Foundation’s mission, vision, and strategic priorities.
** EDUCATION AND EXPERIENCE
*
* Education:

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.  Data science, or computer science training or certification, preferred.

Work 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.
** QUALIFICATIONS
* * Familiarity with and interest in the Foundation’s substantive focus areas, such as regional economic development, entrepreneurship, and economic mobility.  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, Pivot Tables) and proficiency with standard productivity tools (e.g., Microsoft Office, Box, Slack); experience with Tableau or Power BI and Salesforce preferred.

All of the statements in this position description are intended to describe the general nature of the work being performed and are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required. This document describes the position currently available.  The organization reserves the right to modify job duties or job descriptions at any time.

Thank you for your interest in careers at the Ewing Marion Kauffman Foundation.

Associates of the Kauffman Foundation work in partnership with people who share a passion for entrepreneurship and education.

The Kauffman Foundation is an Equal Opportunity Employer, welcoming people to flourish in an open and inclusive work environment. A diverse pool of candidates is welcomed and encouraged. All applications are held in confidence, consistent with our .
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