Senior Data Analyst

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Logo of Stride, Inc.

Stride, Inc.

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

• Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies; • Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions; • Serve as a technical liaison and subject matter expert for complex analytic questions; • Recommend best courses of action based on analytic findings, tradeoffs, and business constraints; • Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions; • Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches; • Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets; • Provide support for products and applications powered through dashboard and reporting services; • Process confidential data and information according to guidelines.

🎯 Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics or related field • 8-10 years of relevant professional experience with SQL modeling, Data Analysis and visualizations including at least three (5) years of experience performing action and outcome-oriented data analysis • Demonstrated experience in handling large data sets and relational databases for data products • Expert-level SQL and strong python for data analysis • Excellent collaboration, communication, and stakeholder-management skills • Ability to travel up to 10% of the time • Ability to clear required background check

🏖️ Benefits

• health benefits • retirement contributions • paid time off

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