Position Overview:
The Senior Director of Quantitative Data Analytics reports directly to the office of the CEO. This is a key strategic role responsible for leveraging data to drive business insights that will drive the growth and transformation of our business. This role is a data expert, responsible for mining data from multiple appllications and systems, identifying patterns, and developing predictive analytics that support decision-making processes and ultimately the success and growth of our business. This role requires a keen awareness of the inter-relationships between operational data and financial implications, as well as a thorough understanding of financial ratios and metrics. Previous experience in investment banking is a plus.
Work Mode: 5 days a week in office working directly with the CEO.
Key Responsibilities:
- Extract data from core systems and databases to uncover valuable insights and trends across multiple applications. Develop an indepth understanding of our various business applications and become adept at extracting and combining the data in meaningful ways.
- Develop models and algorithms to predict future outcomes and optimize business performance, utilizing triangulation methods to validate findings.
- Identify recurring patterns and anomalies within data sets to inform strategic decision-making.
- Work collaborative with internal partners in finance, sales, and operations to understand their data needs and provide analytical support and advice.
- Prepare and present reports and dashboards to executive management, highlighting key findings and recommendations.
- Bring a growth mindset and continuous improvement ot the organization by staying ahead of industry trends and best practices in data analysis and predictive modeling.
- Work closely with leaders across multiples departments and disciplines to gain an intimate understanding of the way we work and how that translates to our data.
- Be a champion of data integrity and provide feedback and guidance how how to get the most timely and accurate data inputs; identify gaps in data inputs and establish ways of gathering data needed to drive better insights.
- Help establish portfolio strategy of repositioning, acquisition, disposition to maximize financial performance and long-term sustainability.
Requirements:
- Bachelor's degree in Mathematics, Statistics, Economics, Finance, or a related field; Master's degree preferred.
- Proven experience in quantitative analysis, data mining, and predictive modeling.
- Ability to pull together disparate data sources in a clear and concise way that tells a compelling story about our past, present and future business performance.
- Driver of data analytics to establish strategic initiatives and implementation for the organization.
- Strong proficiency in statistical analysis methods and tools.
- Familiarity with financial ratios, metrics, etc.
- Excellent analytical and problem-solving skills, with a meticulous attention to detail.
- Ability to communicate complex findings and concepts to non-technical stakeholders.
- Self-motivated with a proactive approach to learning and professional development.
- Can design, development, and implement of algorithms and mathematical or statistical models to develop predictive analytics leveraging current technology solutions.
- Can work closely with the Company's business intelligence team to develop key executive management reporting capabilities.