DATA ANALYST

The Opportunity-

We're seeking a motivated Data Analyst to join our growing team. This role is ideal for recent graduates, graduating students, and professionals who want to apply their analytical skills toward social good. We actively welcome international students on OPT. This isn't just another entry-level position, it's a launching pad for a meaningful career in data analytics with direct exposure to industry clients, comprehensive learning opportunities, and clear pathways to advanced roles.

What Makes This Role Distinctive: Work directly with corporate partners, foundations, consulting firms, and government agencies on high-impact projects. Gain exposure to professional environments and client management from day one. Strong performers have demonstrated pathways to full-time positions with our external partner organizations. Build a professional network spanning both social impact and corporate sectors.

Comprehensive Professional Development: Full access to our proprietary learning platform featuring courses in emerging technologies.

Project Management & Leadership Experience: 1) Lead cross-functional initiatives and manage stakeholder relationships. 2) Collaborate with diverse teams across departments and partner organizations. 3) Develop project management capabilities typically acquired over several years. 4) Build a portfolio of substantive projects demonstrating real-world impact Flexible

Work Environment: Remote work options available.

Key Responsibilities:

1) Data Analysis & Strategic Insights: Interpret complex datasets using advanced statistical techniques and provide actionable reports to leadership and stakeholders Identify trends, patterns, and correlations in data to drive strategic program decisions.

2) Develop predictive models and analyses to optimize resource allocation and program effectiveness, Conduct impact assessments and performance evaluations.

3) Data Visualization & Communication: Design and build interactive dashboards using Tableau, Power BI, Looker, or Sigma Create compelling visual narratives that translate complex data into accessible insights, Present analytical findings to senior management, program teams, and external partners, Develop automated reporting systems for ongoing monitoring and evaluation.

4) Data Infrastructure Development: Design and implement robust databases, data collection systems, and analytics pipelines Develop ETL/ELT processes using modern frameworks such as Apache Airflow, Talend, or dbt, Acquire and integrate data from primary and secondary sources Establish data governance protocols ensuring quality, security, and compliance.

5) Data Quality Assurance: Clean, validate, and structure data with meticulous attention to accuracy Review reports, printouts, and performance indicators to identify and resolve data integrity issues. Implement automated quality checks and monitoring systems Document data processes and maintain comprehensive data dictionaries

6) Cross-Functional Collaboration: Partner with program teams to understand analytical needs and deliver tailored solutions. Work closely with management to prioritize business intelligence requirements.

Required Qualifications-

Education & Experience:

1) Bachelor’s/ Masters degree in data science, Statistics, Computer Science, Mathematics, Economics, or related field (recent graduates and graduating students encouraged to apply)

2) 0-2 years of professional experience (internships, co-ops, and academic projects count) Demonstrated ability to work with data through coursework, projects, or professional experience.

3) Technical Skills: Proficiency in SQL for data extraction, manipulation, and analysis Advanced Microsoft Excel skills including pivot tables, VLOOKUP, macros, and statistical functions

4) Experience with at least one modern business intelligence tool (Tableau, Power BI, Looker, Sigma, or similar)

5) Working knowledge of Python (pandas, NumPy, matplotlib) or R for statistical analysis

6) Understanding of data modeling, database design, and data architecture principles Familiarity with statistical concepts and methodologies