Senior Data Analyst analyzing marketplace performance and driving insights to improve retention and revenue at Preply, an education technology company.
SP
Hybrid Senior Manager, Business Intelligence, Data Analytics
Posted 5 months ago
About the role
- Lead the Business Intelligence and Data Analytics team at Staples, focusing on data-driven solutions for enhancing sales and operational decision-making in a hybrid work environment.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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