• Provide students and staff alike with a positive, responsive experience, including personal attention and knowledgeable guidance through the financial aid process • Provide exceptional customer service via multiple communication mediums (e.g. phone, email, chat), with a focus on single-source service and by adhering to pre-defined service standards • Obtain and maintain current knowledge of federal and state financial aid regulations for a variety of aid programs and the ability to apply this information to problem resolution • Provide problem resolution or escalate highly unique or complex issues to a Financial Aid Manager, as appropriate • Conduct consistent and frequent outreach to students via telephone, email and text in an effort to secure financial aid eligibility documentation • Accurately document all student-related interactions in student information system and provide appropriate and timely financial aid responses • Maintain eligibility to access the National Student Loan Data System, (NSLDS), as defined by the US Department of Education • Scan and upload necessary documentation and complete data entry support to the Financial Aid Processing and Awarding Unit • Attend and participate in team, SFA department meetings for the purpose of obtaining and sharing information • Participate in lean processes and strategic planning activities • Embody the spirit of the University’s mission and vision in daily activities • Support and contribute towards University’s commitment to diversity and inclusion • Perform other duties as directed, requested or assigned

Role Description We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets. - Partner with business stakeholders to gather, analyze, and document data requirements. - Perform data profiling, data mapping, and data quality assessments across multiple source systems. - Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives. - Work with Snowflake and Databricks to design, transform, and manage large-scale datasets. - Build and maintain Python-based data processing and validation workflows. - Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets. - Identify data discrepancies and support reconciliation processes through root cause analysis. - Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency. - Support data governance, metadata management, and documentation activities. Qualifications - 6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering roles. - Strong hands-on experience with SQL, Snowflake, Databricks, and Python. - Experience in data mapping, data profiling, data validation, and data quality management. - Mandatory experience working with financial reconciliation data. - Strong understanding of transaction-level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processes. - Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred. - Experience working in cloud-based data environments. - Exposure to data governance and master data management practices. - Familiarity with financial controls, audit, or reconciliation frameworks. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

• Own features end-to-end: write the spec, design the solution, build it, and operate it in production • Design, build, and maintain backend services in Node.js / TypeScript (NestJS or Elysia) for high-performance APIs and async jobs • Work with AWS cloud-native services (Lambda, SQS, EventBridge, Aurora, S3, CloudWatch) for scalable, resilient architectures • Manage data storage and synchronization, working with Postgres and Aurora • Implement and maintain CI/CD pipelines with GitHub Actions • Contribute to architecture decisions, code reviews, and security practices • Collaborate directly with product and business stakeholders — no PM layer, no hand-holding • Leverage AI tools and modern development practices to drive engineering velocity

Role Description Als Werkstudent:in im Bereich Finance bist Du ein wichtiger Teil unseres Teams. Mit Deiner strukturierten und eigenständigen Arbeitsweise trägst Du direkt zum Erfolg und Wachstum unseres Unternehmens bei! - Du übernimmst die tägliche Rechnungsprozessierung und Freigabe in Candis sowie die Vorkontierung in Moss. - Du verwaltest eigenständig unser Rechnungseingangspostfach & verbuchst Zahlungseingänge. - Du unterstützt unser Controlling Team bei den monatlichen Auswertungen zu Kosten und Profitabilität. - Du wirkst aktiv bei der Erstellung von Verfahrensdokumentationen und Risiko-Kontroll-Matrizen für unsere Kernprozesse mit. - Du korrespondierst mit Fachabteilungen und externen Partnern bezüglich Zahlungsstati und Mahnungen. Qualifications - Eingeschriebene:r Student:in im Bereich BWL, Finance, Business Management oder einer vergleichbaren Fachrichtung. - Sehr gute organisatorische Fähigkeiten. - Erste Erfahrungen in Administration, Accounting oder Controlling sind ein Plus. - Sicher im Umgang mit Google-Tools. - Fließende Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse. Requirements - Proaktive Hands-on Mentalität. - Absolute Zuverlässigkeit. - Hohes Qualitätsbewusstsein. Benefits - Arbeiten remote oder im Home-Office mit weitgehend flexibler Zeitgestaltung. - Unterstützendes Team und eine Kultur, in der du wirklich du selbst sein kannst. - Flache Hierarchien und kurze Entscheidungswege. - Einmal im Jahr eine legendäre, einwöchige Workation an einen besonderen Ort. - Neueste digitale Tools für eine optimale Arbeitsweise. - Monatliche Extras wie Gutscheine oder Wellpass-Nutzung, ein großzügiges Budget für unsere Produkte und regelmäßige Team-Events.