Senior Product Analyst

October 25

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Logo of Age of Learning

Age of Learning

Early childhood education • Early literacy skills • Educational games • Original high quality educational content • Educational puzzles

501 - 1000

Description

• Age of Learning, Inc. is looking for an outstanding Senior Data Analyst of K5 Data Reporting to conduct analyses and reporting of quantitative data related to the implementation and efficacy of our digital education programs. • This role combines expertise in data analysis, interacting with customers (schools administrators) to share their district’s success with our products, data engineering, and reporting to drive insights in our educational products. • The Senior Data Analyst of K5 Data Reporting is responsible for overseeing the creation and delivery of easy-to-consume and impactful reports for K12 stakeholders both internally and externally. • This role requires collaboration with Sales representatives, interaction with school administrators and working with a team of data analysts and data engineers in an agile, scrum-based environment. • The Senior Data Analyst will establish and maintain processes for report creation, ensuring visualizations and data relay are effective and user-friendly, as well as monitoring the use and relevance of reports and overseeing the deprecation of outdated reports. • This role offers an exciting opportunity to lead data analysis and reporting efforts to improve educational outcomes and drive expansion with K5 learners.

Requirements

• Bachelor’s degree in Data Science, Statistics, Education, or a related field • 5+ years of experience in data analysis, particularly in analyzing and visualizing data • Strong experience in data visualization tools (e.g., Tableau, Power BI) and statistical programming languages (e.g., Python, R, STATA) with the ability to create clear, impactful visualizations and storytelling • Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders, both internally and externally • Proficiency in data analysis and statistical methods • Fluent in complex SQL queries on large data sets • Data transformation and modeling using dbt • Detail-oriented with a strong focus on data quality and storytelling • Ability to manage multiple projects and work in a fast-paced, dynamic environment  • Travel required 10%-20% of the time

Benefits

• 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums • A 401(k) program with employer match • 15 paid vacation days (increases to 20 days on your 3-year anniversary), 11 observed national paid holidays plus 9 sick days • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

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