Northwestern Mutual is here for what’s most important—helping families and businesses achieve financial security for over 160 years. Through a distinctive big-picture approach, including both insurance and investments, we’re helping people navigate life and guide them to their goals today, and in the days to come. We combine the expertise of our financial professionals with a personalized digital experience and leading-edge technology to best serve our clients.

With $265.0 billion in assets, $28.1 billion in revenues, and more than $1.8 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.5 million people who rely on us for life, disability income and long-term care insurance, annuities, brokerage and advisory services, trust services, and discretionary portfolio management solutions. The company holds more than $125 billion of client assets as a part of its wealth management company and investment services.

We are strong supporters of our financial workforce nationwide as well as our home office professionals in Milwaukee, WI. We’re continuing to grow, and we believe diversity makes us stronger as we help shape the future of financial security.

The Senior Data Analyst at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will access, gather, and analyze data from multiple internal and external sources to drive insights into business problems, decisions, and performance.

• Create and produce forecasts, reports, and dashboards using high quality data visualization to tell a story through data.
• Design and administer system testing and user acceptance testing on deliverables. Summarize analysis into user-friendly deliverables by translating detailed data into business-appropriate communication and recommendations.
• Deliver results, insights, and recommendations (written, verbal, presentations, etc.) to business audiences to support business decisions.
• Provide consultation to business clients and may participate in cross-functional teams to address business issues.
• Create forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
• Utilize analytics and metrics to improve processes and provide data-driven forecasts that impact business (costs, risks, etc.).
• Share best practices with peers through coaching and mentoring around core methodologies, standards, and processes.
• Create and be accountable for high quality, value driven work that drives business outcomes and places the user in center of decision making.

100% telecommuting permissible from anywhere in the U.S.

Minimum Requirements: Bachelor's degree in Management Information Systems, Statistics, Computer Science, or related field plus five years of research and data analysis experience.

Five years of experience must include four years of experience with each of the following: (1) application development;
(2) data acquisition and cleansing;
(3) feature engineering;
(4) debugging; and
(5) software documentation using modern languages including Python.

Must also have three years of experience with data warehouses including Redshift or Snowflake and digital analytics tools including Adobe Analytics and Power BI.