Top Data & Analytics Jobs

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.

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.

Develop dashboards, reports, data models, metrics, and visualizations while analyzing business data. Build and maintain Python software, APIs, integrations, data pipelines, and workflow automations. Partner with business users to translate requirements into technical solutions, support testing and deployment, troubleshoot issues, document processes, and explore AI and advanced analytics opportunities.

Conducts proactive and responsive prospect research to evaluate donor capacity, affinity, and engagement. Develops research profiles, due diligence reports, briefings, prospect lists, and analytical materials supporting fundraising and stewardship. Maintains prospect records, analyzes wealth screening and institutional data, monitors relevant developments, and advises development staff on portfolio management and cultivation strategies. Also supports research tools, documentation, training, and process improvements while handling confidential information.

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Supports DIRECTV FOR BUSINESS through KPI analytics, financial analysis, customer segmentation, and process improvement initiatives. The intern analyzes performance drivers, commitments, projects, and customer experience impacts; synthesizes insights into data stories; documents processes; and presents findings to leaders. The role involves cross-functional virtual collaboration and requires proficiency in Excel, PowerPoint, Python, SQL, Power BI, and data visualization.

Analyze gaming performance across game types, venues, states, devices, days, and player demographics. Produce quarterly reports, identify gameplay and player-behavior trends, and recommend data-driven improvements to product strategy, engagement, and revenue. Partner with account teams, visualize findings in Tableau and Power BI, and present actionable insights to leadership and field teams. Manage multiple priorities while working with ambiguous, semi-structured data and AI-assisted analytical tools.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.