Top Data & Analytics Jobs

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Leads business analysis, advanced analytics, KPI development, data modeling, reporting automation, and AI/ML initiatives supporting global data-center construction and operational excellence. Builds datasets, dashboards, performance metrics, forecasts, and scenario models; translates complex findings for executives; aligns technology solutions with business needs; and promotes data governance, documentation, process improvement, and analytics maturity across cross-functional teams.

Leads advanced business banking credit risk analytics and reporting, including portfolio analysis, predictive insights, dashboards, regulatory reporting, KRI governance, and risk strategy support. Advises senior leaders, interprets regulations, manages strategic initiatives, improves reporting processes, and partners with stakeholders on credit policies and portfolio decisions. Uses SAS, Python, and Power BI to integrate data, automate reporting, develop analytical models, and communicate emerging risks and recommendations.

Develop financial, strategic, pricing, forecasting, and operational models; analyze complex datasets; build dashboards and recurring reports; validate data; and translate findings into actionable recommendations. The Senior Analyst partners with Sales, Pricing, Operations, Finance, and senior leaders to support strategic decisions, identify risks and opportunities, automate reporting, and manage multiple analytical projects.

Manage cost-share and farm viability data in CRM and project management systems, maintain data protocols, develop collection tools, analyze program results, and prepare reports and maps for funders and partners. The role requires careful administrative coordination, compliance review, communication with farmers, and independent work planning. It is full-time with hybrid flexibility, a monthly Ames office requirement, and seasonal travel throughout Iowa and nearby states.

Collects and analyzes internal and external data to identify trends, opportunities, and risks. Develops dashboards, reports, and visualizations for leadership; monitors KPIs; partners with advisors to answer business questions; and supports strategic planning through forecasting, modeling, and scenario analysis.

Supports qualitative and quantitative voice-of-customer research projects, including study design, data collection, analytics, reporting, and development of actionable recommendations. Collaborates with internal stakeholders and market research team members to generate customer insights that inform product innovation, marketing, and business strategy.

Analyze hospital data and performance metrics to support sales teams, leaders, and healthcare customers. Build reports, dashboards, and visualizations; prepare and validate datasets; conduct quality reviews; support customer analyses; and respond to data requests. The intern will contribute to data governance, sales productivity, and data intelligence initiatives while translating information into actionable business insights.

Ten-week business analytics internship for college students. Interns analyze business data, solve challenges, create insights, collaborate with teams, present findings, and contribute to real-world projects. The program includes mentoring, formal training, leadership interactions, and professional development in analytics, strategy, communication, coding, and storytelling.

Analyze hospital data and performance metrics supporting sales teams, leaders, and healthcare customers. Build reports, dashboards, and visualizations; prepare and validate datasets; conduct quality reviews; support customer analyses; and respond to routine data requests. The intern will help strengthen data governance, improve sales productivity, translate data into actionable insights, and communicate findings clearly while collaborating with internal stakeholders and customers.