Staples-posted 3 months ago
Full-time • Mid Level
Framingham, MA
Merchant Wholesalers, Nondurable Goods

This Data Analyst III - Digital Analytics will be responsible for driving analytics to support Staples B2C and B2B digital strategy. The Analyst will impact business results by delivering insightful and actionable analyses to influence strategy and key growth initiatives. This role requires an excellent collaborator, communicator, and analyst with extensive hands-on data experience. The successful candidate is a problem solver in a fast-moving and highly diverse environment and will be able to handle multiple projects simultaneously while ensuring accuracy and timeliness are not compromised. In addition to strong analytical skills, the Analyst must be adept at communicating findings to senior leadership and business stakeholders across the organization in both verbal and presentation formats.

  • Work closely with Product Management and Digital Experience partners to provide high-quality analytical support for digital site and marketing strategies in a fast-paced and dynamic environment.
  • Collect, structure, and analyze data from various sources to identify trends and actionable insights that drive strategic business decisions.
  • Identify the needs for and design, build, deploy self-service business intelligence (BI) dashboards.
  • Partner with stakeholders to guide experimental design and readouts for the impact of digital initiatives (including A/B, pre-post, synthetic control, and geo-based experiments).
  • Monitor analytics and key metrics, proposing improvements as needed.
  • Lead cross-functional projects, ensuring collaboration and alignment among team members.
  • Communicate complex data concepts and insights effectively to non-technical audiences.
  • Mentor junior data analysts and guide them on complex analytical tasks.
  • Bachelor's degree in Data Science, Computer Science, Statistics, or equivalent work experience.
  • Minimum of 5-7 years' experience in a data analyst or related role.
  • Advanced proficiency in SQL and Power BI; knowledge of other query, reporting, and automation tools (such as Adobe Analytics, Python, R, and Alteryx) is a plus.
  • Proficient with relational databases and big data structures, with ability to identify and resolve data inconsistencies.
  • Master's degree or advanced degree in a quantitative field.
  • Track record of driving innovation and change through data analytics.
  • Experience in E-commerce or marketing analytics; data science and predictive modeling experience is a plus.
  • Inclusive culture with associate-led Business Resource Groups
  • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
  • Online and Retail Discounts
  • Company Match 401(k)
  • Physical and Mental Health Wellness programs
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