Jobs › Senior Data Analyst - Risk Product
Senior Data Analyst - Risk Product
Job at a glance
- Category
- Risk
- Work arrangement
- Hybrid
- Location
- Milwaukee, WI
- Salary range
- $89,360
- Posted
- Jul 31, 2026
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Northwestern Mutual is hiring a Senior Data Analyst - Risk Product in Milwaukee, WI. This is a Risk job in the governance, risk, and compliance field, with a posted range of $89,360. Review the full details below and apply directly with Northwestern Mutual.
About the Job The Senior Data Analyst, Risk Product, will be part of the Sales Enablement function and will play a key role in helping leaders make informed, data-driven decisions. This role supports the Risk Product team by translating complex data into clear insights, meaningful reporting, and actionable recommendations that help improve business performance, strengthen processes, and support strategic decision-making. This individual will partner closely with department leaders, business clients, product partners, and cross-functional teams to understand business questions, analyze trends, develop KPI frameworks, and create dashboards and reports that tell a clear story through data. The ideal candidate brings strong analytical capability, curiosity, and the ability to connect data insights to business outcomes. This is a hybrid role that will require both independent analytical work and collaborative partnership with stakeholders across the organization. What You’ll Do Provide quantitative and qualitative data analysis to identify patterns, trends, insights, and opportunities that support business decisions. Develop reporting, dashboards, forecasts, and other analytical deliverables that help leaders understand performance and take action. Use data, analytics, and metrics to evaluate business processes, identify risks or opportunities, and provide data-driven recommendations. Translate complex data findings into clear written, verbal, and presentation-based insights for department leaders and business clients. Produce actionable reports that highlight key performance indicators, identify areas for improvement, and support root-cause analysis. Partner with stakeholders to understand business questions, user needs, current processes, and the decisions the analysis needs to support. Build and maintain KPI frameworks that connect data, performance measures, and business outcomes. Gather, analyze, and interpret data from multiple internal and external sources to support business questions and decision-making. Apply data visualization best practices to create reports and dashboards that are clear, useful, and easy for stakeholders to understand. Take initiative to design and develop analytical deliverables based on business needs, findings, and stakeholder priorities. Provide consultation to business clients and participate in cross-functional efforts to address business issues. Develop deep expertise in at least one business area or domain, while building
Full responsibilities and requirements are on Northwestern Mutual's application page.
Apply for this job →Location and market context
This job is based in Milwaukee, WI on a hybrid schedule. Local candidates benefit from being close to Northwestern Mutual's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.
About risk management jobs
Risk jobs own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Jobs like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.
How to position yourself for this risk management job
Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how Northwestern Mutual would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.
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