Job DescriptionThis 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.
What you will be doing:
- 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.
What You Bring to the Table:
- Strong analytical thinking and creative problem-solving skills.
- Excellent verbal and written communication abilities, with demonstrated capacity to communicate at the senior executive level.
- Ability to work collaboratively and proactively in a team environment.
- Proven ability to manage time, prioritize work, and thrive in a results-driven environment.
- Hands-on experience with statistical testing, and predictive modeling
What's needed- Basic Qualifications:
- Bachelor's degree in Data Science, Computer Science, Statistics, or equivalent work experience.
- Minimum of 5+ years' experience in a data analyst or related role.
- Advanced proficiency in SQL and Power BI or similar tools.
- Proficient with relational databases and big data structures, with ability to identify and resolve data inconsistencies.
What's needed- Preferred Qualifications:
- 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.
- Knowledge of AI and other automation tools (such as Databricks, Python, and R)
We Offer:
- 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.
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