
Data Science Manager - Quantitative Analytics - Vice President
- Plano, TX
- Permanent
- Full-time
- Leverage technical skills to develop SQL code to mine large complex data sets (via Toad, Alteryx, etc.)
- Use critical thinking skills to learn the business process, identify ROE opportunities, and develop initiatives using analytics.
- Create analytical or statistical models (e.g., Python) as solutions for identified business opportunities.
- Harness leadership skills to work independently, taking ownership and accountability of assigned projects.
- Align to evolving business priorities and deliver strategic solutions for successful execution.
- Design and develop rich visualization dashboards summarizing performance metrics and KPIs, providing self-serve capability to end-users.
- Provide strategic partnership on executing data strategy promoting modern data architecture, governance, and democratization of data access.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Economics, or relevant field with 5 years of relevant work experience. Advanced degree preferred.
- 6+ years of producing and overseeing advanced analytics work; 2+ years in people management or project lead experience in advanced analytics.
- Strong oral and written communication skills to clearly communicate solutions/recommendations to end users.
- Coordinate with multiple business partners to ensure business needs and projects are identified, prioritized, and executed.
- Track record of executing large-scale automation initiatives using data exploration, enrichment, and preparation tools like Alteryx.
- Subject matter expertise in data visualization tools like Tableau, identifying best practices and upholding quality standards in dashboards and analytical solutions.
- Experience with big data technologies and programming languages including Python, Spark, or Scala.
- Solid proficiency in developing reporting solutions and providing data analytics.
- Ability to perform independent research and discovery around data environments, processes, and tools, providing impactful solutions.
- Ability to adapt to new technologies and data tools, working independently and within a team environment.
- Ability to manage execution and delivery of multiple projects, adapting to changing business priorities while meeting delivery deadlines.