Data Analyst

The data analyst will be part of HOPE’s data analytics team. In this role, the data analyst will develop dashboards and reports required by HOPE departments across the organization to provide insights into data trends and improve operational effectiveness. The analyst will utilize Power BI, SQL, and statistics knowledge (with R or Python capabilities strongly preferred) to complete this work in collaboration with other data analytics team members.

Location: Lancaster, PA or Remote-US, United States

Level: Professional

Type: Full-time

Department: Operations

Reports to: Data & Business Analytics Manager

Promote and fulfill the mission and vision of HOPE International
Data Analysis and Consultation to Global Network of Programs
Leverage data analytics best practices, Power BI, and SQL knowledge to conduct thorough analyses of complex data from field programs across the globe; extract important insights and clearly communicate key findings to HOPE leadership
Develop analytical models and dashboards from field-level portfolio data for HOPE’s Microfinance and Savings Group departments to achieve strategic plan goals
Support HOPE’s Listening, Monitoring & Evaluation and Microfinance teams with statistical analyses of field evaluations, survey results, and operational data to communicate program impact to donors and improve operational pain-points
Clearly communicate technical findings to non-technical audiences across HOPE
Train global HOPE staff on Power BI to further self-service analysis capabilities across the organization; enhance field program staff’s ability to knowledgably use key field data applications and reporting systems
Consult with other HOPE departments such as the Finance, Internal Audit, Marketing and Development in the development and implementation of new tools and dashboards
Manage and effectively prioritize your portfolio of data analytics projects using excellent organizational and communication skills
Document and help standardize how HOPE performs comparative data analysis; suggest improvements in tools and techniques
Distill and present significant analysis findings to HOPE leadership
Technology Team Analysis and Support
Work with leaders to prioritize technical assistance challenges and generate creative solutions
Work collaboratively with the data applications team as needed to develop data warehouses, potentially including application research, project management support, system integration, development of reporting tools, and quality assurance monitoring
Manage relationships within interdisciplinary and cross-cultural teams including technology, finance, field program staff; as well as external entities such as vendors, consultants, donors, and partner organizations
Perform other data analytics and technical assistance functions as necessary, including responding to information requests from other departments
Personal confession of Christian faith and commitment to the mission and vision of HOPE International
Bachelor’s degree in data analytics, data science, computer science, statistics, engineering, finance, or related field
1-2+ years of experience in data analytics, data science, computer science, or related disciplines; experience with financial analysis preferred
Demonstrated interest in microfinance, international development, and financial services
Technical proficiency in SQL required
Experience leveraging R or Python to conduct statistical analyses
Experience with data visualization software such as Power BI preferred
Advanced Microsoft Excel skills and experience with other Microsoft Office Suite products
Basic finance/accounting knowledge; ability to conduct business and financial analysis and prepare synthesized recommendations for presentation to leadership
Strong analytical and problem-solving skills; self-starter attitude in the face of complex challenges
Excellent communication skills
Impeccable organizational skills, including effective time management and prioritization of competing demands/multiple deadlines
Ability to speak French proficiently strongly preferred
Cross-cultural experience preferred

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