At Staples, we are dedicated to serving businesses of all sizes with exceptional sales and support services. Our talented teams work closely with our customers to provide tailored solutions that meet their unique needs. Join us in a role that not only propels your career forward but also offers opportunities for skill development and growth in a thriving environment.
Your Role :
- Lead the design and optimization of scalable data pipelines and architectures utilizing platforms like Snowflake, BigQuery, and relational databases.
- Transform business priorities into actionable data strategies that enhance the accessibility, accuracy, and transparency of key sales metrics.
- Guide and mentor a skilled team of data engineers, BI developers, and analysts, promoting their professional development and delivering high-quality results.
- Work collaboratively with Product, Commercial, Operations, and IT teams to identify requirements and implement solutions that improve decision-making.
- Establish and uphold data governance frameworks and quality assurance practices to ensure reliable analytics.
- Develop and oversee KPIs, dashboards, and metrics that assess operational performance and sales effectiveness.
- Implement automated reporting systems that streamline the delivery of sales and operational data.
- Support AI and advanced analytics initiatives, working with research teams to integrate innovative models and scale infrastructure.
- Present analytical insights and recommendations to senior leaders and cross-functional stakeholders effectively.
- Drive continuous improvement by assessing new technologies and analytical tools to boost data agility and lessen manual efforts.
Your Qualifications :
Strategic and analytical thinker with a data-driven mindset to solve complex problems.Proven leadership and coaching experience, with a track record of nurturing high-performing teams.Exceptional communication and interpersonal skills; capable of influencing stakeholders at all levels.Highly organized and detail-oriented, skilled at managing multiple projects simultaneously.Business insights to align data initiatives with organizational goals.Basic Qualifications :
Bachelor's degree in Analytics, Data Science, Business, Marketing, or a related field; or equivalent experience.8+ years in data engineering, business intelligence, or analytics roles.Expertise in SQL, data modeling, and relational database management.Hands-on experience with Snowflake, BigQuery, and traditional RDBMS systems.Proficient with BI tools and visualization platforms such as Power BI, Tableau, or Looker.Strong capability to develop and optimize ETL / ELT data pipelines for performance and scalability.Solid understanding of data governance, metadata management, and data quality principles.Demonstrated capacity to lead cross-functional teams and manage multiple projects at once.Preferred Qualifications :
A Master's degree is preferred.Experience with R, Python, dbt, or Airflow for advanced data orchestration and transformation.Familiarity with cloud-based architectures (AWS, GCP, Azure) and their data services.Knowledge of AI / ML integration, model deployment support, and advanced analytics pipelines.