Lead Data Analyst - Hybrid

Primary Duties & Responsibilities:

• Leads expert level quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers in order to drive business decisions and address business questions
• 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
• Delivers results to Business Clients and Sr. Dept Leaders
• Delivers results, insights and recommendations (written, verbal, presentations, etc) to business audience to support business decisions
• Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, display root cause analysis of problems, and recommend solutions
• Deep expertise in a least one business area or domain, with a broad understanding of the business and domains surrounding the main focus. Ability to articulate this knowledge as an expert at the enterprise level and may be called on to provide insight at the senior leadership level to provide detailed analysis.
• Seeks to understand business process, user tasks, and as necessary, captures refined process documents
• Shares best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. Contribute to the development there of.
• Takes initiatives to design and develop deliverables based on interpretation of findings and business client needs on a wide range of highly complex analytical topics
• Provides consultation to business clients (including senior leaders) and participates in enterprise-wide teams to address business issues
• Contributes to the growth & development of the NMDSI, to foster internal and external partnership
• Identifies & captures business requirements, develops KPI frameworks
• Perform business use case opportunity identification & sizing
• Regularly applies new perspectives, creative problem solving, and inter-departmental connections to improve enterprise analytical capabilities
• Actively promote learning & curiosity.
• Access, gather, and analyze data from multiple internal and external sources to drive insights into complex business problems, decisions, and performance. Creates and produces forecasts, reports, dashboards, etc. to tell a story through data
• Leads the creation of forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc).
• Leads 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.

Qualifications:

• Master's degree in computer science, MIS, math, statistics, business or related field.
• At least 6 years of professional experience
• At least 5 years of experience building analytics models, visualizations and delivering insights
• Ability to provides design direction
• Ability to apply data visualization best practices to work deliverables.
• 7 years of relevant experience with a proven track record in research and data analysis, application of statistical research techniques, report or application development that support business decisions/outcomes.
• Expertise in development and analytical tools such as SAS, SQL, MS Excel, SPSS or other tool
• Visualization tooling like PowerBI or Tableau

Compensation Range:

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Geographic Specific Pay Structure:

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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.

Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!

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.

Skills

Analytical Thinking (NM) - Advanced, Industry Knowledge (NM) - Intermediate, Data Interpretation (NM) - Advanced, Strategic Thinking (NM) - Advanced, Statistical Analysis (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Advanced, Talent Development & Planning (NM) - Beginner, Root Cause Analysis & Decision Quality (NM) - Advanced, Business Acumen (NM) - Intermediate, Negotiation & Managing Objection (NM) - Beginner, Consulting (NM) - Intermediate, Automation Mindset (NM) - Intermediate, SQL (NM) - Advanced, Engineering Expertise & Practices (NM) - Advanced, Business Application (NM) - Advanced, Adaptive Communication (NM) - Advanced, Storytelling through Data (NM) - Advanced, Data Literacy (NM) - Advanced, Data ETL (NM) - Advanced, Tableau or Power BI (NM) - Advanced, Coaching & Mentoring (NM) - Beginner, Business Influence (NM) - Beginner, Python or R (NM) - Advanced, Data Analytics (NM) - Advanced, Data Solutions (NM) - Intermediate

FIND YOUR FUTURE

We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging.

• Flexible work schedules
• Concierge service
• Comprehensive benefits
• Employee resource groups