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Sr. Manager, Business Intelligence

2 weeks ago

Framingham, Massachusetts, United States Staples Full time

Staples is business to business. You're what binds us together.

Our world class sales and sales support teams work directly with businesses of all sizes to offer products and services to meet our customers' unique needs. We are committed to understanding our customers and use best-in-class sales tools and technology to find the best solutions. We're constantly discovering new ways to reach our goals, taking time to develop our skills, and investing in our career growth, so we can enjoy lucrative opportunities and grow our careers both within and beyond sales.What you'll be doing:

  • Lead the design and optimization of scalable data pipelines and architecture using platforms like Snowflake, BigQuery, and relational databases.
  • Translate business priorities into actionable data initiatives that improve access, accuracy, and visibility of key sales metrics.
  • Manage and mentor a team of data engineers, BI developers, and analysts, fostering professional growth and high-quality delivery.
  • Collaborate with Product, Commercial, Operations, and IT teams to define requirements and deliver solutions that enhance decision-making.
  • Establish and enforce data governance frameworks and quality assurance practices to guarantee reliable analytics.
  • Develop and monitor KPIs, dashboards, and metrics that measure operational performance and sales effectiveness.
  • Implement automated reporting systems to streamline delivery of sales and operational metrics.
  • Support AI and advanced analytics initiatives, partnering with research teams to integrate new models and scale infrastructure.
  • Present analytical findings and recommendations to senior leaders and cross-functional stakeholders.
  • Drive continuous improvement by evaluating new technologies and analytical tools to enhance data agility and reduce manual effort.

What you bring to the table:

  • Strategic, analytical thinker with a data-driven approach to problem-solving.
  • Strong leadership and coaching skills, with a proven track record of developing high-performing teams.
  • Exceptional communication and interpersonal abilities; able to influence at all levels.
  • Highly organized and detail-oriented, adept at managing multiple initiatives simultaneously.
  • Business acumen to align data initiatives with commercial objectives.

What's needed- Basic Qualifications:

  • Bachelor's degree in Analytics, Data Science, Business, Marketing, or related field; or equivalent work experience.
  • 8+ years of 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.
  • Proficiency with BI and visualization tools such as Power BI, Tableau, or Looker.
  • Proven ability to develop and optimize ETL/ELT data pipelines for performance and scalability.
  • Strong understanding of data governance, metadata management, and data quality principles.
  • Demonstrated ability to lead cross-functional teams and manage multiple concurrent initiatives.

What's needed- Preferred Qualifications:

  • Master's degree 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.

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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