Career Development Data Analyst

Role Overview

• 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.