Analyze student employment outcomes, including job types, wages, employment tiers, time to employment, and progression over time.
Develop and maintain standardized, repeatable metrics that provide a consistent view of outcomes across pathways, regions, and populations.
Identify trends, gaps, and anomalies in outcomes data and surface areas requiring attention.
Ensure leadership has timely access to accurate, trusted employment outcomes data.
Build and maintain dashboards and reports that support operational and strategic decision-making.
Partner with stakeholders to define metrics, align on data definitions, and support consistent interpretation.
Conduct deeper quantitative analyses in response to leadership and program questions.
Translate analysis into clear findings that inform strategy, program design, and resource allocation.
Partner closely with Career Development leadership, program owners, and cross-functional teams.
Present findings clearly to technical, operational, and executive audiences.
Contribute to a culture of honest measurement, learning, and continuous improvement.
Requirements
Bachelor’s degree required in data science, statistics, business analytics, information systems, mathematics, economics, or a related field.
Master’s degree preferred in a related quantitative or analytical field.
Minimum of three years of professional experience in data analysis, reporting, evaluation, or a related role.
Experience working with employment, education, workforce, or program outcomes data preferred.
Strong ability to analyze large datasets related to employment outcomes, wages, progression, and participation.
Proficiency in SQL for querying, transforming, and validating data.
Experience using business intelligence tools such as Power BI, Tableau, or similar platforms.
Experience with Power Query preferred.
Experience with Databricks, Microsoft Fabric, or similar data platforms preferred.
Strong analytical and critical thinking skills, including the ability to ask good questions, test assumptions, and explore root causes.
Comfort working with imperfect or evolving data and clearly communicating limitations.
Ability to translate quantitative findings into clear, actionable insights for non-technical audiences using visuals, summaries, and structured analysis.
Strong written and verbal communication skills.
Ability to work effectively with cross-functional partners and incorporate feedback into analyses.
Strong judgment in handling sensitive student and employment data, including confidentiality and ethical use of information.
Willingness to learn new tools, methods, and domains and adapt analytical approaches as priorities and data sources evolve.
Tech Stack
SQL
Tableau
Benefits
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work.
The Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
The Church will make reasonable accommodations for qualified individuals with known disabilities.