• Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Romanian (and/or Romanian to English as needed). • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. • Document findings clearly and follow established processes to ensure consistency and quality.

• Partner closely with Sales teams to develop and deliver tailored, customer-facing data analyses and presentations that support deal progression and customer decision-making. • Collaborate with cross-functional teams to understand customer needs and translate complex datasets into clear, compelling insights and narratives. • Conduct deep-dive, customer-specific analyses to identify trends, performance drivers, and opportunities beyond standard reporting outputs. • Design, build, and maintain automated data pipelines, dashboards, and reporting tools to streamline recurring analyses and reduce manual effort. • Participate in customer calls and internal strategy sessions to provide data-driven perspectives and answer technical or analytical questions. • Establish and maintain feedback loops with Sales and customers to continuously improve the quality, clarity, and impact of data outputs. • Support broader Sales and Marketing initiatives through exploratory analyses that inform go-to-market strategies and product positioning. • Work closely with the Data Science team to leverage advanced methodologies, improve analytical frameworks, and expand the organization’s data capabilities. • Coordinate with product and engineering teams to identify and resolve anomalies, issues and patterns seen in customer data. • Contribute to ongoing development of tools, processes, and best practices that enhance how data is utilized across the organization.

• Responsible for leading the collection, analysis, and interpretation of data to drive product strategy, adoption and execution for the payment gateway. • Create and own data roadmaps to increase product performance transparency for product stakeholders. • Manage data analytics dashboards to track KPIs and deliver clear, actionable insights to product managers. • Monitor data accuracy, and support proactive investigation. • Support ad-hoc reporting framework where product managers can gather and analyze relevant data including customer/CAM surveys, product usage statistics, and market research. • Conduct opportunity sizing analyses, develop forecasting models, and present data-driven insights to influence strategic decision-making. • Collaborate with Engineering and Data Insights to design, build and document an analytics framework for product experimentation, A/B testing and advanced modeling to support long-term product performance. • Analyze large transaction datasets to uncover trends & opportunities across channels and payment methods (card, ACH, P2P). • Help product managers define, track, review, and respond to relevant KPI metrics by establishing monthly, quarterly and yearly cadence of facilitated exploration and analysis. • Respond to performance inquiries from partners, support, engineering, support and product -communicate breakages and help drive resolution. • Monitor transaction data integrity throughout the lifecycle, investigating incidents and anomalies. • Work with product engineering to define how and what data points to collect from products. Partner across value streams to validate accuracy of financial data and drive. • Clearly communicate data-driven findings to stakeholders on a monthly, quarterly and yearly cadence. Establish and inspect quarterly OKR’s to measure efficacy of growth initiatives. • Contribute to data discipline across product by promoting an analytical approach, leveraging data-led experimentation for data-informed execution. • Identify inefficient operational processes and automate to reduce manual requirements. • Partner across teams to ensure financial reporting accuracy. Facilitate ledger and ACH reconciliation by identifying discrepancies, and optimizing settlement processes both internally and with partners. • Stay up-to-date on data science and contribute to the data analytics guild across NMI.

Description ABOUT REINVESTMENT FUND Reinvestment Fund is a mission-driven financial institution committed to making communities work for all people. As a federally certified community development financial institution (CDFI), we bring financial and analytical tools to partnerships that work to ensure that everyone has access to essential opportunities: affordable places to live, access to nutritious food and health care, schools where their children can flourish, and strong, local businesses that support jobs. We use data to understand markets, communities, and impediments to opportunity—and how investment and policy decisions can have the most powerful impact. We are part of coalitions that work to shift how entire sectors work to dismantle systems that perpetuate social and economic inequality. Since our founding, we have put more than $3 billion to work for good — investing in projects that are both targeted and transformative. We have worked with scores of policymakers in cities, states, and federal agencies and helped millions of people nationwide access critical services and amenities. By tailoring financing solutions, fostering local partnerships, building coalitions, and informing strategies for tackling systemic injustices, we are charting paths and forging collaborations that catalyze positive, lasting impact. Reinvestment Fund is committed to be an employer of choice for students looking to work in a community development financial institution with industry leaders. We have worked hard to be recognized nationally for our combination of expert knowledge, innovative strategies, and proven results. Reinvestment Fund’s business environment provides students with ample opportunity for personal growth and success. ABOUT THE POSITION: The Lending Data & Analytics team has been working with IT to build the Enterprise Data Warehouse (EDW): the central system that houses all of Reinvestment Fund's lending data and drives the workflows and reporting behind loan origination, servicing, payments, and regulatory reporting across all of our lending portfolios. This internship offers hands-on experience across the full data stack, from writing SQL and building automated pipelines to designing Power BI dashboards that inform decision-making for portfolio managers, servicing staff, and senior leadership. We are offering an internship opportunity to work directly with lending data, build dashboards and reports, and contribute to projects that support real-world decision-making in a mission-driven organization. Projects are designed to be self-contained and completable within the summer, while contributing meaningfully to systems that remain in production long after. The intern will gain hands-on experience working across a uniquely complex data environment—one that integrates financial loan data with qualitative impact metrics to support the full breadth of RF's reporting needs, while developing a deeper understanding of what it means to work in a mission-driven CDFI environment. RESPONSIBILITIES: - Assist with data visualization and reporting projects, which could include the following: - Working on operational dashboards - Turn existing SQL infrastructure into a repeatable, committee-ready reports - Building a reusable repertoire of visualizations for quarterly lending reports - Assist with Database and Pipeline Development: - Write and document new validation rules for the EDW lending data - Fill in the open sections of the Loan Administration Glossary and EDW Operations Manual - Reconcile the database object inventory and expand metadata to improve the EDW design and performance. - Other duties as assigned. Requirements EDUCATION, EXPERIENCE, AND SKILLS To perform this temporary job successfully, responsible students must meet the following qualifications: - Undergraduate level studies in Computer Science, Data Science, or Statistics required - Ability to take initiative, as well as work independently when needed. - Demonstrate independent decision making and communication skills. The decisions of interns in these positions will directly contribute to the operation and success of the project or program. - Possess proficient research and problem-solving skills. - Experience with SQL, Azure Development Tools, and Power BI/Tableau is preferred - Students should be able to commit to a minimum of 20 hours per week. WORK LOCATION: This position can be based remotely anywhere within the Eastern Standard Time zone, with a preference towards candidates that may be local to Philadelphia, PA. LENGTH OF INTERNSHIP: Up to 13 weeks with the potential for extensions, starting no earlier than June 8th, 2026. EXPECTED COMPENSATION: $20/HR Reinvestment Fund uses E-Verify to validate all new hires' ability to legally work in the United States and all new hires may be subject to a background check. Reinvestment Fund is an Equal Opportunity Employer. We do not discriminate in hiring or employment practices based on race, color, religion, gender, age, sexual orientation, marital or familial status, national origin, non-job-related disability, or status as a veteran. Reinvestment Fund is committed to belonging, culture and engagement throughout our organization and in our external investment practices. Reinvestment Fund, Inc. has an affiliate, RF Impact Advisers, Inc. (“RFIA”) that is a PA state-exempt reporting adviser. In order to maintain compliance with and prevent violations of federal and state securities laws and to avoid even the appearance of a conflict of interest, RFIA has adopted a Compliance Manual to govern certain conduct of its staff, including certain staff of Reinvestment Fund because Reinvestment Fund is an advisory affiliate of RFIA. As part of this Compliance Manual, there are specific personal reporting and disclosure requirements for certain individuals, and this reporting may extend to your household members.