Apply on Employer Site

Strada Education Foundation · 17 hours ago

Senior Operational Data Analyst

Washington, DC

Full-time

Hybrid

Mid, Senior Level

$115K/yr - $138K/yr

3+ years exp

Strada Education Foundation is focused on strengthening connections between education and employment in the U.S. The Senior Operational Data Analyst will develop data-driven advisory services to help state clients analyze graduate-to-employment pathways, emphasizing data analysis to generate actionable insights for workforce competitiveness.

Higher Education

Responsibilities

Identify, integrate, and manage education and workforce datasets from state, federal, third-party, and proprietary sources, applying modern data cataloging to improve discoverability, stewardship, and governance

Design, develop, and maintain scalable ELT pipelines within a Google Cloud Platform/BigQuery environment, ensuring secure, reliable, and efficient data integration and transformation in support of analytics and advisory services

Coordinate with external contracted data teams to align pipeline operations, data flows, and platform management with internal requirements, security expectations, and project objectives

Implement data quality and governance practices that promote consistent, accurate, and trustworthy data across the cloud environment, including systematic validation and monitoring

Ensure secure and compliant management of sensitive data—such as PII/PHI, FERPA-protected records, and wage/employment data—by applying strong privacy, de-identification, and minimization practices

Apply modern cloud-security standards, including role-based access control, least-privilege design, encryption, secrets management, and secure service-account configurations across data pipelines and warehouse operations

Monitor and audit platform activity through automated logging and access reviews to detect anomalies, support incident response, and strengthen overall data protection

Partner with IT and security teams to document data flows, classify information assets, support regulatory compliance (e.g., FERPA, HIPAA, GLBA, SOC 2), and embed a culture of privacy and risk mitigation across environments

Conduct sophisticated statistical analyses of labor market trends, supply/demand projections, and higher education/workforce alignment using cloud-based data sources

Develop and refine models to support data-driven policy and decision-making for clients and stakeholders, leveraging SQL, Python, R, and advanced BigQuery capabilities

Integrate best practices in data quality and metadata management to enable reliable, reusable analysis

Work with the analytics team to translate research findings into policy-relevant insights targeted to key stakeholders in postsecondary education and training

Develop reports, dashboards, and presentations to communicate key insights to stakeholders

Support the development of reports, interactive visualizations and presentations using Tableau, Power BI, or similar platforms to communicate key insights to stakeholders

Collaborate with partners to refine data products that inform workforce and education policy decisions

Provide guidance and mentorship to Strada research colleagues on data relating to education and workforce alignment and measuring diversity and representation of populations in workforce data and analysis

Partner with Human Resources and DEI leadership to promote equitable workplace practices and diverse perspectives

Foster a collaborative, inclusive environment that encourages innovation and cross-functional teamwork

Model transparency, respect, and inclusion in all professional interactions

Qualification

Data analysisCloud data managementSQLPythonData visualizationR StudioTableauPower BIStatistical analysisDEI commitmentCommunicationProblem-solvingProject managementTeam leadership

Required

a bachelor's degree in data analytics, computer science, education or social science research, mathematics, business, or a related field or equivalent work experience

3-5 years minimum experience conducting analysis on complex datasets

Familiarity with R Studio, Python, SQL, SAS/STAT, Stata or other data & statistical analysis

Experience leveraging cloud-based data warehouse environments such as Google Cloud Platform, or similar cloud infrastructure for data management, transformation, analysis and reporting

Experience with visualization tools such as Tableau, Power BI or other business intelligence platforms

Familiarity with educational, government labor and state workforce data

Knowledge of workforce and economic data product APIs and data shares (e.g., Lightcast, Chmura, Moody's) and integrating these into data ecosystems

Familiarity with quantitative and qualitative research methods

Excellent strategic analysis and problem-solving skills

Excellent communication (verbal and written) and interpersonal skills

Experience using project management methodologies for analysis projects

Ability to multi-task and work under time pressure