Data Analyst Lead
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. Accesses, gathers, and analyzes 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. Produces 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.
Requirements
- Bachelor's 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.
Skills
- Analytical Thinking (NM)
- Cross Functional Partnering & Planning (NM)
- Data Analytics (NM)
- SQL (NM)
- Data Interpretation (NM)
- Data Literacy (NM)
- Storytelling through Data (NM)
- Data Solutions (NM)
- Business Acumen (NM)
- Python or R (NM)
- Data Automation (NM) - Intermediate (Inactive)
- Business Application (NM)
- Data ETL (NM)
- Tableau or Power BI (NM)
- Industry Expertise (NM) - Intermediate (Inactive)
- Coaching & Mentoring (NM)
- Engineering Expertise & Practices (NM)
- Data Visualization & Storytelling (NM) - Advanced (Inactive)
- Negotiation & Managing Objection (NM)
- Strategic Thinking (NM)
- Statistical Analysis (NM)
- Root Cause Analysis & Decision Quality (NM)
- Adaptive Communication (NM)
- Consulting (NM)