Data Analyst Lead

Northwestern Mutual•Franklin, WI

1d•$108,160 - $186,600•Hybrid

About The Position

Leads expert level quantitative and qualitative data analysis and reporting of patterns, insights, and trends to the Claims Leadership team to drive business decisions and address business questions. Accesses, gathers, and analyzes data from multiple internal and external sources and partners with Client Advocacy Reporting Solutions & DSA to create and produce forecasts, reports, dashboards, etc. to tell a story through data. 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 the team for speed, agility, and innovation in work. Delivers results, insights, and recommendations (written, verbal, presentations, etc.) to the Claims Leadership team and other business partners to support business decisions. Produces actionable reports that show key performance indicators, identify areas of improvement in current operations, display root cause analysis of problems, and recommend solutions. Seeks to understand business processes in the Claims department, user tasks, and as necessary, captures refined process documents. Shares best practices on data analysis with peers through coaching and mentoring around core methodologies, patterns, standards, and processes. Takes initiatives to design and develop deliverables based on interpretation of findings and business needs on a wide range of highly complex analytical topics. Provides consultation to leaders and participates in cross-functional teams to address business issues. Identifies & captures business requirements, and contributes to the development of KPI frameworks. Regularly applies new perspectives, creative problem-solving, and inter-departmental connections to improve analytical capabilities. Actively promotes learning & curiosity. Contributes to 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 the team for speed, agility, and innovation in work.

Requirements

Bachelors degree in computer science, 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 provide 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
Analytical Thinking (NM): Organizes and compares different aspects of a situation to identify complex underlying issues through quantitative data and analysis. Uses business acumen, problem solving, and multiple perspectives to think critically and improve processes.
Cross Functional Partnering & Planning (NM): Facilitates collaboration, communication, coordination, and planning across individuals and teams with different areas of expertise to achieve shared goals.
Data Analytics (NM): Creates business knowledge through data analysis and applies a variety of analytical techniques to support business questions, decisions, and outcomes.
SQL (NM): Uses clear, logical SQL code for small- and large-scale projects to access, organize, and manage data within a database-management system.
Data Interpretation (NM): Reviews and interprets data findings to identify patterns, develop meaningful insights, and support informed business decisions.
Data Literacy (NM): Selects and uses appropriate data for a specific purpose, thinks critically about analytical findings, applies suitable tools and methods, and recognizes when data may be misrepresented or used incorrectly.
Storytelling through Data (NM): Communicates insights and opportunities from data through clear narratives, visualizations, and analysis.

Responsibilities

Leads expert level quantitative and qualitative data analysis and reporting of patterns, insights, and trends to Claims Leadership team in order to drive business decisions and address business questions.
Access, gather, and analyze data from multiple internal and external sources and partners with Client Advocacy Reporting Solutions & DSA to create and produces forecasts, reports, dashboards, etc. to tell a story through data.
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, insights and recommendations (written, verbal, presentations, etc) to Claims Leadership team and other business partners 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.
Seeks to understand business processes in the Claims department, user tasks, and as necessary, captures refined process documents.
Shares best practices on data analysis with peers through coaching and mentoring around core methodologies, patterns, standards and processes.
Takes initiatives to design and develop deliverables based on interpretation of findings and business needs on a wide range of highly complex analytical topics.
Provides consultation to leaders and participates in cross-functional teams to address business issues.
Identifies & captures business requirements, and contributes to development of KPI frameworks.
Regularly applies new perspectives, creative problem solving, and inter-departmental connections to improve analytical capabilities.
Actively promote learning & curiosity.
Contributes to 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.