Senior Director, Strategic Analytics and Data Science

Tricentis • Atlanta, GA

9d

About The Position

You will be responsible for leading complex analytical projects to improve Tricentis’ business performance. The ideal candidate has a keen eye on seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for improvement. This role will work closely with the C-suite and leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. He/she will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.

Requirements

• Demonstrated analytical ability with strong knowledge of data modeling and statistical analysis techniques, and ability to synthesize and analyze large volumes of complex information from multiple sources.
• Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly
• Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans
• Technical background in data science and proven ability to create and manage leading and lagging indicator dashboards for a large, complex organization
• Proficient in synthesizing complex data sets into easily understood and actionable insights and strategies
• Ability to understand and dissect P&L and other performance metrics leveraging multiple quantitative and qualitative data sources & analysis
• Excellent analytic and problem-solving skills
• Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence
• Strong communication and collaboration skills
• Excellent pattern recognition and predictive modeling skills
• Self-starter with a strong ability to lead and develop a new team
• Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success
• Professional attitude, service orientation, strong work ethic; superb team player
• Excels in nebulous environments where the path to address a problem is not always clear or direct
• Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis
• 8-12 years of business, analytical, and technical experience
• BS/BA in Business, Engineering, Mathematics, Computer Science or equivalent experience
• MS in Applied Statistics, Statistics, Computer Science, or advanced Math, Engineering
• Deep understanding of the full stack of modern data analytics, engineering, and modeling - including tools for batch and real time data collection, data storage, dashboarding, modeling, and deployment

Responsibilities

• Lead the development of forecasting, target setting and predictive analytics
• Interface with business to frame strategic issues and path forward and align with key stakeholders
• Drive interaction between technical and business teams to ensure the value of data science and analytics is achieved
• Lead adoption of analytics-driven use cases and change management into the business
• Perform ad hoc deep-dive analysis on various performance metrics to provide additional insight into drivers
• Drive improvement in modeling infrastructure, framework, and process to standardize, automate, and scale up the model development and deployment

Benefits

• Market competitive salary + success-oriented commission / bonus
• Supportive and engaged leadership team.
• Career path and professional & personal development.
• 401(k) / pension plan and full benefits package available.
• Enhance statutory Maternity and Paternity Pay
• Personal and professional development.
• A number of leave offerings: volunteer days, vacation days, public holidays, and flex/floating leave days.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees