Business Intelligence Analyst
Cummins Inc.
PythonSQL
Data Analyst III - Digital Analytics
Staples Promotional Products
full-time
Posted on:
Location: Massachusetts • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Drive analytics to support Staples B2C and B2B digital strategy and influence key growth initiatives.
- Work closely with Product Management and Digital Experience partners to provide analytical support for digital site and marketing strategies.
- Collect, structure, and analyze data from various sources to identify trends and actionable insights.
- Identify the needs for and design, build, deploy self-service business intelligence (BI) dashboards.
- Partner with stakeholders to guide experimental design and readouts for digital initiatives (A/B, pre-post, synthetic control, 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 and senior leadership.
- Mentor junior data analysts and guide them on complex analytical tasks.
Requirements
- 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.
- Hands-on experience with statistical testing, and predictive modeling.
- 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.
- Preferred: Master’s degree or advanced degree in a quantitative field.
- Preferred: Experience in E-commerce or marketing analytics; data science and predictive modeling experience is a plus.
