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Über
As a Senior Data Analyst, you will drive data-informed decisions and quality across credit, portfolio performance, member/customer experience, and operational efficiency. This position requires deep expertise in financial services analytics, strong technical acumen, and proven ability to lead teams and influence senior leadership. As a Sr Data Analyst, you will
Analyze loans, portfolio, input finance, and member/customer data to uncover trends, risks, and opportunities across credit, pricing, product performance, and seasonal lending patterns. Design, build, and maintain executive dashboards and operational reports covering KPIs, portfolio health, delinquency trends, yield analysis, and operational performance (Power BI) Partners with credit, risk, finance, product, and retail teams to define analytical questions, design studies, and translate findings into concrete business recommendations that drive strategy and operations. Support and enhance credit and risk models (e.g., credit scorecards, early-warning indicators, member risk assessment) in collaboration with data science and risk teams; monitor model performance and stability over time. Own end-to-end data workflows: data extraction (SQL/SoQL, DataBricks), cleaning, transformation, validation, documentation, and governance to enable repeatable analyses and self-service data assets for the organization. Ensure data quality, integrity, and compliance with financial regulations, privacy requirements, and audit standards in partnership with technology, compliance, finance, and risk teams. Lead and mentor a team of analysts to define priorities, review work, provide constructive feedback, support professional development, and model analytical best practices. Present insights and recommendations to the Executive Leadership team, senior leadership, business unit heads, and cross-functional stakeholders Identify and champion new data-driven opportunities, analytical approaches, tools, and processes that improve decision quality, operational efficiency, and competitive advantage. Participate in cross-functional initiatives such as portfolio growth strategy, product launches, technology implementation, and regulatory reporting. Basic Qualifications and Skills
Experience: 5+ years of professional data analytics experience in financial services, banking, lending, payments, or fintech environments. Agricultural finance experience is a strong plus. Leadership: Demonstrated experience leading or mentoring analysts, managing small teams, or owning analytics workstreams with meaningful cross-functional influence and stakeholder impact. Technical Skills
Advanced SQL for complex querying across large, relational datasets; ability to optimize performance on large tables. Proficiency in at least one programming language (Python or R) for data wrangling, exploratory analysis, and light statistical modeling. Strong hands-on experience with Power BI to build executive-ready dashboards. Financial Knowledge: Solid understanding of financial products, lending metrics, and risk analytics, including loan performance, collections, risk, participation analysis, portfolio concentration, seasoning, and credit metrics. Curiosity, critical thinking, and rigor in questioning assumptions, validating data quality, and designing robust analyses. Strong project management, time management, and ability to balance multiple priorities and stakeholders in a dynamic, growing organization. Preferred Qualifications
Experience in agricultural finance, crop input financing, cooperatives, or rural lending. Expertise in credit risk analytics, portfolio performance monitoring, early warning systems, or loss prediction modeling. Familiarity with statistical modeling, experiment design, A/B testing, or causal inference methods. Experience working with cloud data platforms (Snowflake, BigQuery, Redshift, etc.) and modern data stacks. Knowledge of financial data governance, regulatory compliance (e.g., Fair Lending, regulatory reporting), and data security best practices. This role is remote as-needed but is generally expected to be on-site
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Sprachkenntnisse
- English
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