Analytical Capabilities Leader

Equifax

11d

About The Position

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. The Analytical Capabilities Leader is a senior, strategic role responsible for directing the design and overseeing the creation of customer-facing analytics for our small and middle-market customers. This leader will serve as the subject matter expert on our customers' analytical needs, leveraging a deep understanding of their industry, how they use our products, and what data-driven tools they require to make critical business decisions. This individual will blend a strong data science background with customer understanding to envision and build solutions. A key focus for this leader will be to drive the scalability of these analytics through reusable, highly automated tools and processes, including low-code/no-code platforms, enabling delivery to our customers at scale. This role requires close cross-functional collaboration with Product and Technology teams to ensure analytical solutions are effectively deployed within our existing platforms and deliver tangible value to our customers.

Requirements

• Industry Knowledge & Commercial Acumen: Expert knowledge of customer-facing solutions, market segments, and market data trends. Ability to identify commercial opportunities and align analytical solutions with business objectives.
• Business Partnership & Consulting: Serve as a trusted advisor to internal and external stakeholders, using active listening to understand desired outcomes and design effective solutions.
• Data Science & Decision Modeling: Strong background in data science, able to guide teams in architecting and productizing advanced statistical concepts, algorithms, and models into scalable, automated tools.
• Statistical Programming: Proficiency in overseeing a team developing efficient, reusable code in languages such as Python and SQL.
• Leadership and Teamwork: Ability to foster a collaborative team environment, provide thought leadership, and coach others to develop their skills.
• Storytelling with Data: Ability to consult with users on data and explain complex technical solutions in a clear, understandable way that supports business metrics.
• Artificial Intelligence: Develop the strategic vision to integrate AI strategies seamlessly with business goals.
• BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred.
• Minimum 10 years of related experience in data science, analytics, or a related field.
• 3+ years of management or team leadership experience.
• Demonstrated experience in designing and building scalable, automated, customer-facing analytical solutions or products.
• Deep experience in statistical programming (e.g., Python, R, SQL)
• Experience leading and influencing cross-functional teams (e.g., Product, Technology)

Nice To Haves

• Cloud Certification (e.g., AWS, GCP, Azure) or equivalent experience is preferred.

Responsibilities

• Analytical Strategy & Design: Lead the definition of the analytical strategy for the small and middle-market customer segment, identifying key opportunities to drive value and competitive advantage.
• Customer-Facing Solutions: Direct the work design and oversee the creation of scalable, reusable, and automated customer-facing analytical tools and solutions.
• Solution Development: Design and implement highly automated processes and leverage low-code/no-code tools to scale the delivery of analytics to midsized customers. Translate deep industry and customer understanding into practical, deployable, and scalable solutions, with a focus on automation and reusability.
• Customer & Industry SME: Serve as the internal and external Subject Matter Expert on customer analytical needs, data structures, market trends, and the client environment.
• Cross-Functional Deployment: Partner with Product and Technology leaders to integrate and deploy analytical solutions within our existing technology platforms, ensuring a seamless customer experience.
• Stakeholder Alignment: Align with key business stakeholders to drive the strategic roadmap for customer analytics and influence overall business strategy.
• Team Development: Mentor and coach team members, fostering a collaborative and productive environment and building consulting and data science capabilities.

Benefits

• We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees