Lead Advanced Analytics

Typical Tasks

• Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions.
• Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making.
• Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc.
• Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
• Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions.
• Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

  Key Roles and Responsibilities

  Typical tasks may include, but are not limited to, the following:

  Education/Experience

  • Bachelor’s degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
  • 5+ years of related experience.
  • Certification is required in some areas.