Responsibilities:
- Lead data-driven recommendations and insights to support strategic projects across Central Operations
- Understand the business, track operational performance, provide insights and recommendations
- Support company-wide programs through ownership of analytical projects
- Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
- Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
- Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
- Own technical implementations and documentation associated with datasets and strive for 100% accuracy
- Possibility to learn & implement advanced analytics tools for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation)
Basic Qualifications:
- BS degree in a quantitative discipline
- 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
Preferred Qualifications:
- Ability to leverage numbers and insights to influence & drive sound decision making
- Ability to build strong partnerships and collaborate with stakeholders
- Experience in communicating effectively and presenting to Senior Executives
- Experience with manipulating massive-scale structured and unstructured data
- Experience creating and maintaining business-critical data warehouse tables using SQL
- Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Airflow, Pig, Hive, etc.)
- Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)