Career Development Data Analyst – BYU-Pathway

Career Development Data Analyst – BYU-Pathway Worldwide
United States (Híbrido)

BYU-Pathway Worldwide’s Human Resources team supports the organization’s mission, strategy, and educational offerings to nearly 75,000 students in 180 countries, as well as to service missionaries, employees, and partners.

The Career Development Data Analyst is responsible for measuring, analyzing, and reporting on student employment outcomes s role focuses on quantitative analysis of career outcomes data to help BYU-Pathway understand what is happening as students move from education to employment, how outcomes vary across populations and pathways, and where improvement efforts should be focused.

The analyst serves as a trusted source of quantitative truth for Career Development leadership by producing reliable metrics, dashboards, and analyses that inform strategy, program design, and resource allocation. This position emphasizes rigorous data analysis, clear reporting, and evidence‑based insight.

• 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.

• 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.
• Ability to identify trends, gaps, and anomalies in data and explain their implications.

• 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.

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