Age of Learning® is the leading education technology innovator, creating engaging and effective learning resources to help children build a strong foundation for academic success and a lifelong love of learning. Our research-based digital education programs have proven efficacy in increasing children’s learning gains, and our curriculum is developed by an experienced team of education experts. Age of Learning’s flagship product, ABCmouse.com® Early Learning Academy, is an award-winning comprehensive curriculum for children.  Adventure Academy™, the first AAA education massively multiplayer online game (MMO), provides elementary-and middle-school-age learners the opportunity to build critical knowledge in language, arts, math, science, social studies, and more in a fun and safe virtual world. The company’s School Solutions Programs include My Math Academy® , an adaptive, personalized program that helps students master foundational math concepts, and My Reading Academy™, which helps young learners become fluent readers and build a foundation for reading comprehension and literacy. With over 10 billion learning activities completed by more than 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit www.AgeofLearning.com.

The Analytics Engineer will own the data and data processes for the Efficacy research team and their school districts/implementation partners. Working collaboratively with analysts and researchers, the Analytics Engineer will determine the data needs for efficacy research analyses; understand the characteristics of major benchmark assessments and the assessment policies of districts / states; develop expertise in the alignment between assessments and the games within our School Solutions Products; communicate with external stakeholders to obtain the data needed in the appropriate format; establish processes to obtain these data efficiently; and support customer success by helping districts / implementation partners interpret data insights generated through analyses. 

Responsibilities:

• Collaborate closely with members of the Efficacy Research team to understand the types of data needed for standard efficacy research analyses and support the creation of data requests to educator partners
• Understand the characteristics of various schools / districts’ benchmark assessments and their alignment with different games in School Solutions Programs
• Create and own a Snowflake data mart to support efficacy research data needs, including building and maintaining data integrations, performing data transformations, and monitoring data quality and completeness
• Explore and conduct different types of analyses to understand the relationships between Age of Learning® program usage and assessment outcomes 
• Create beautiful and informative automated/real-time dashboards and visualizations to communicate key learning metrics and analytical results
• Communicate data reports to internal stakeholders and school / district / implementation partners 

Required Qualifications:

• Fluent in complex SQL queries on big data sets. Fluent in Tableau and Excel. Additional data visualization capabilities a plus
• Fluent in a general-purpose programming language (preference for Python). Able to manipulate and explore data, perform analysis, and create visualizations using R or Python
• Knows dimensional modeling for data warehousing
• Great at data mining
• Must be able to understand and analyze data, synthesizing large volumes of data and complex questions into clear analyses and actionable findings
• Bachelor's degree in a quantitative field (such as analytics, statistics, applied math, data science, economics or computer science) from four-year college or university; 
• OR a Bachelor’s degree in a non-quantitative field AND a Master’s degree in a quantitative field
• Curious, motivated, self-starter, collaborative, respectful, team player 
• Excellent attention to detail
• Exemplary communication skills (both written and oral)
• Can work iteratively, defining requirements as needed
• Comfortable multi-tasking and working in a fast-paced, dynamic environment

Preferred Qualifications:

• Experience working with PK-12 teachers / districts 
• Familiarity with PK-12 assessments
• Familiarity with research design, research methods, and evaluation research
• At least 2 years in a data engineering or analytical focused role in a digital environment, experience working on games or educational apps a plus

Age of Learning currently provides: