Primary Duties & Responsibilities:

• Provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends within Advanced Markets Operations (AMO) in order to drive business decisions, address business questions, and improve operational health
• Cross-functional collaboration with shared service teams to create and produce forecasts, reports, dashboards, etc. to identify and/or support key problem statements and tell a story through data
• Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc)
• Delivers results, insights and recommendations (written, verbal, presentations, etc) to business audience to support the day-to-day operations and key business decisions
• Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
• Takes & applies design direction to improve readability and insights. Applies data visualization best practices to work deliverables.
• Seeks to understand business process, user tasks, etc. to ensure data is accurate and logical
• Implement best practices, methodologies, standards and processes and share across teams.
• Takes initiatives to design and develop deliverables based on interpretation of findings and operational needs on a wide range of analytical topics
• Creates and is accountable for high quality, value driven work that drives business outcomes; places the user in the center of decision making; and collaborates with team for speed, agility and innovation in work
• Provides consultation to business clients and may participate in cross-functional teams to address business issues
• Identifies & captures business requirements, develops KPI frameworks
• Regularly applies new perspectives, creative problem solving, and inter-departmental connections to improve analytical capabilities
• Embrace continuous learning, curiosity, and ambiguity.

Qualifications:

• Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business or related field.
• At least 4-5 years of professional experience
• At least 4 years experience working in analytics related field
• At least 3 years of hands-on experience doing analytics work
• A t least 5 years of progressively responsible experience in research and data analysis, application of statistical research techniques, report or application development that support business decisions/outcomes
• Expertise in development and application of analytical tools such as SAS, SQL, MS Excel, SPSS, R or other tool
• Visualization tooling like PowerBI or Tableau
• Ability to access, gather, and analyze data from multiple internal and external sources to drive insights into business problems, decisions, and performance
• Ability to articulate this knowledge as an expert at the department level and may be called on to provide insight at the enterprise level to provide detailed analysis

Compensation Range:

Pay Range - Start:

$78,190.00

Pay Range - End:

$145,210.00

Geographic Specific Pay Structure:

Structure 110:

$86,030.00 USD - $159,770.00 USD

Structure 115:

$89,950.00 USD - $167,050.00 USD

We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.

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Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.