Data Science Analyst

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Stride, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2000

📚 Education

🛍️ eCommerce

☁️ SaaS

Education • eCommerce • SaaS

Stride, Inc. is an innovative company focused on transforming education through online learning and personalized teaching. It serves a diverse range of learners including K–12 students, adult learners, military families, businesses, and school districts. Stride offers a variety of educational products and services, which include K–12 education solutions, career development programs, and personalized tutoring. With a commitment to social responsibility and inclusion, Stride aims to help learners of all ages achieve their full potential by providing flexible and effective learning opportunities both in online public schools and beyond. Stride is also involved in developing tools for educators and supporting businesses by offering career development options and access to a talented workforce. The company is publicly traded on the NYSE under the symbol LRN.

📋 Description

• Assist in the preparation, design and execution of models and data products to improve the academic and business outcomes of Stride • Participate as a member of the analytics team identifying and analyzing school data, proprietary data, and third-party data to answer thoughtful and relevant research questions and provide replicable, well-documented analyses • Leverage products such as: DBT, SQL, Python and GitHub to collect, organize and model data sets for peak functionality per business requirement • Design, Create, Deploy and Maintain various products and applications through the Power BI service • Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions • Participate in cross functional relationships in order to synthetize data domain knowledge • Support initiatives for data integrity and normalization including but not limited to data ownership • Process confidential data and information according to guidelines

🎯 Requirements

• Bachelor’s degree in Information & Technology, Data Analytics, Computer Science, Mathematics, Statistics or a related field, or equivalent training • Three (3) years of relevant professional experience with BI tools and SQL modeling, including at least one (1) year of experience performing action and outcome-oriented data analysis OR Demonstrated experience in handling large data sets and relational databases for BI products OR Equivalent combination of education and experience • Excellent verbal and written communication skills • Ability to travel up to 10% of the time • Ability to clear required background check

🏖️ Benefits

• health benefits • retirement contributions • paid time off