Lead Data Analyst - Hybrid

Northwestern Mutual

2d•Hybrid

About The Position

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: Pay Range - Start: $92,750.00 Pay Range - End: $172,250.00 Geographic Specific Pay Structure: Structure 110: $102,060.00 USD - $189,540.00 USD Structure 115: $106,680.00 USD - $198,120.00 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. 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. At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company over 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. What started in Milwaukee, WI has grown into 7,000+ home office professionals split across 3 campuses: New York City, Franklin and downtown Milwaukee (HQ) - each one bringing with it its own unique talent and culture. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual as we are growing our digital and tech capabilities and are always on the lookout for bright, tech-savvy candidates. Northwestern Mutual is proud to be an equal opportunity employer. We have chosen to build a diverse and inclusive workplace where talented people from all backgrounds want to be, want to stay, and want to build their future. We celebrate and support our differences for the benefit of our employees, our products, and our community. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

Requirements

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

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.