Top Data & Analytics Jobs

Analyze programmatic advertising marketplace trends, buyer behavior, auction dynamics, publisher performance, and revenue data. Build scalable reports, dashboards, and KPI frameworks; investigate performance fluctuations; identify monetization and optimization opportunities; and translate complex analyses into actionable recommendations. Partner with cross-functional teams, support strategic planning, present insights to executive stakeholders, and improve analytics workflows using SQL, automation, and business intelligence tools.

Leads pricing analytics and develops data-driven pricing strategies to optimize gross profit, competitiveness, and customer acceptance. Builds reporting and dashboards, advises network and merchandising teams, supports AI-powered pricing solutions, digitizes processes, and drives experimentation and continuous optimization. Collaborates with Data, Sales, Transformation, Purchasing, and Category Management teams to translate business requirements into pricing solutions and communicate recommendations across the branch network.

Lead analytical support for performance marketing by evaluating CAC, ROAS, LTV, conversion, retention, and acquisition efficiency. Conduct deep-dive analyses, experimentation, incrementality studies, and marketing measurement using SQL, Python, and visualization tools. Build scalable reporting frameworks, improve data quality, communicate insights to senior stakeholders, influence channel and budget decisions, and mentor junior analysts.

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.

Ten-week Business Analytics internship analyzing and interpreting data to support decision-making across risk, trading, accounting, operations, and business development. The intern will use Python, SQL, and Power BI to improve data quality, streamline processes, build reports, propose analytics, and support reporting infrastructure while collaborating with cross-functional teams.

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.