Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field
8+ years of experience in analytics, data science, or business intelligence, with at least 3 years in a leadership role
Proven experience building and managing high-performing analytics teams
Expertise in analytic tool development, data visualization, and data engineering
Strong proficiency with relevant tools (e.g., report/infographic builder tools and current products)
Confidence to lead discussions, sell ideas, and drive acceptance of projects
Skilled communicator, able to translate complex analytics into terms understood by all business leaders
Strategic problem solver with strong business acumen
Experience in Business Analysis including project design
Self-starter able to direct, plan, and manage a team that delivers effectively with high self-confidence
Ability to manage multiple assignments with competing deadlines
Ability to plan, budget, and strategize long-term business solutions based on limited resources
Responsibilities
Design, develop, deploy, and drive adoption of analytic tools and dashboards from concept to product delivery, providing insights for product portfolio and new product development teams
Act as a trusted advisor to Executive Business Partners by identifying and delivering analytics solutions that deliver business value and drive impact
Maintain a roadmap coordinating various business functions, other SBD analytics teams, and technical resources to support strategic objectives, annual targets, and goals
Work with IT partners and Analytics peers to provide input to the technical vision and strategy for a world-class data environment and platform supporting enterprise-wide Data Science and Analytics solutions
Lead team of data scientists and architects on proper modelling, data quality, governance, and documentation strategies
Maintain budget and strategic long-term plan, operate within it to achieve goals, acquire contractor support, and external data acquisition
Develop and grow a team of individual contributors and managers through regular career conversations and robust development plans
Foster a collaborative and innovative environment that encourages continuous learning and improvement
Stay abreast of industry trends, emerging technologies, and best practices in analytics, AI, and data science
Build and maintain relationships with business stakeholders to understand business problems
Support and grow the application of data-driven decisions across Tools and Outdoor category and product management teams