Customer Data Specialist

IXL Learning•San Mateo, CA

9d•$70,000 - $90,000•Onsite

About The Position

IXL Learning, developer of personalized learning products used by millions of people globally, is looking for a Customer Data Specialist. This role will support key accounts by providing data-driven insights to optimize IXL's implementation and benefits within schools and districts. Collaborating with Account Management, you will identify and fulfill the data requirements of our high-priority customers. This involves creating custom reports that effectively communicate IXL's impact on student and school performance. The successful candidate will possess strong data analysis and manipulation skills, attention to detail, organization, and excellent communication. This position requires you to be in our San Mateo, CA, headquarters office.

Requirements

Bachelor's degree in mathematics, data analytics, or a related field
3+ years of experience in a similar role (e.g., data analyst, data-driven customer success, or marketing analytics)
Proven analytical skills, including the ability to translate complex data requests into clear reports and visualizations
Proficiency in Excel or Google Sheets
Excellent written and verbal communication, and proven ability to collaborate cross-functionally
Self-motivated and organized, with the ability to manage a queue of requests independently and make sound decisions aligned with the team and company needs
Experience managing confidential customer data

Nice To Haves

experience with Python (pandas, numpy, matplotlib) is a plus

Responsibilities

Build and maintain strong working relationships with Sales, Customer Success, Professional Learning, Research, and Marketing teams to understand reporting needs and prioritize requests effectively
Translate complex stakeholder requests into accurate, well-structured reports and visualizations that illuminate IXL usage, student growth, and overall progress
Develop a deep understanding of IXL's databases and proactively identify opportunities to refine and improve processes for data reporting
Collaborate with Engineering on intricate data requests, escalating and problem-solving effectively to deliver accurate outputs