Senior Manager Digital Analytics

Our eCommerce team delivers customer-centric site experiences to position Staples as a digital selling platform of choice.

Our team ensures that our mobile, desktop, and app platforms deliver the digital experience that meets our customers' needs.

We do this through customer insights, analytics, and testing to build a strong innovation pipeline for the future and to bring products and solutions to market seamlessly.

We are inclusive, customer-obsessed, and are looking for well-rounded professionals with strong eCommerce business acumen to join our team.

The Senior Manager Digital Analytics will lead the strategy, execution, and continued evolution of enterprise data and analytics capabilities.

You will oversee a team of analytics professionals responsible for turning complex data into actionable business insights, performance measurement frameworks, self-service reporting solutions, experimentation analysis, and strategic recommendations.

This role is based in Framingham, Massachusetts and reports to the Director, Digital Analytics.

What you’ll be doing:

• Lead the development and execution of enterprise analytics programs, including business performance measurement, KPI management, reporting and dashboard strategy, experimentation analysis, and discovery analytics.
• Partner with business leaders to translate strategic objectives into measurement frameworks, analytical roadmaps, data requirements, and actionable recommendations.
• Oversee the design, implementation, and adoption of scalable analytics solutions, self-service reporting capabilities, and governed data assets.
• Establish analytics operating rhythms, prioritization frameworks, and stakeholder engagement processes that balance immediate business needs with long-term capability development.
• Lead advanced analytical initiatives, including customer behavior analysis, performance optimization, segmentation, forecasting, experimentation measurement, and trend identification.
• Lead, coach, and develop a team of analytics professionals to foster a collaborative, inclusive, and high-performing team culture centered on accountability, innovation, continuous learning, and business partnership.
• Partner directly with senior leaders across Digital, Marketing, Merchandising, Product, Customer Experience, Technology, and Finance to shape strategic decisions and business outcomes.

What you bring to the table:

• Strategic thinking and strong business acumen, with the ability to connect data insights to measurable business outcomes and long-term organizational priorities.
• A passion for building, coaching, and developing high-performing analytics teams.
• Strong cross-functional partnership skills and the ability to gain alignment among stakeholders with different priorities.
• Executive-level communication skills, including the ability to clearly present insights, opportunities, recommendations, and risks.
• The ability to lead change and support the adoption of new tools, processes, technologies, and data-driven ways of working.

• Bachelor’s degree in Marketing, Data Science, Business, Analytics, Statistics, Computer Science, Information Systems, or a related field, or equivalent work experience.
• 8+ years of experience in digital analytics, ecommerce analytics, business analytics, data analytics, marketing analytics, or a related domain.
• 3+ years of management experience leading, coaching, and developing analytics professionals or individuals in related roles.
• Demonstrated ability to lead and manage a diverse team, establish clear performance expectations, provide feedback, and foster continuous learning and development.
• Proven experience driving data-informed decisions and translating analytical findings into business recommendations.
• Strong experience with SQL and cloud data platforms such as Snowflake.
• Experience with Power BI, Tableau, Adobe Analytics, Google Analytics, or similar reporting and visualization platforms.
• Experience with experimentation methods, including A/B testing, pre/post analysis, test design, success-metric definition, and experiment readouts.

• Master’s degree in Data Analytics, Data Science, Business, Marketing, Statistics, Computer Science, or a related field.
• Experience partnering with Data Engineering or Analytics Engineering teams to define requirements, validate data, improve pipelines, and establish governed reporting layers.
• Experience with AI-enabled analytics; as well as automated reporting, anomaly detection, or machine learning use cases (via Python or similar coding).
• Familiarity with advanced experimentation and measurement methods such as Bayesian approaches, CUPED, synthetic controls, multi-armed bandits, or similar techniques.

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting.

The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity.

In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.