Data Analyst Lead

• 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.

• 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…