Sr Data Analyst

We are currently seeking a Sr Data Analyst in Kansas City, Missouri

We are a member-owned cooperative that provides innovative financial solutions to agricultural cooperatives and agribusinesses.

This is a onsite – Hybrid role

We leverage cutting-edge financial technology and data-driven insights to support the success of our members and stakeholders. Our commitment to technology-driven solutions ensures that we stay at the forefront of financial services innovation while maintaining strong cooperative values.

We offer a competitive benefits including a defined benefit retirement plan and an annual incentive bonus program.

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.

• 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, Data Bricks), 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.

• 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 work streams with meaningful cross-functional influence and stakeholder impact.

• 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.

• 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, Big Query, 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