Senior Data Analyst

🕒 Maio 28

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Stride, Inc.

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2000

📚 Educação

🛍️ Comércio Eletrônico

☁️ SaaS

Education • eCommerce • SaaS

A Stride, Inc. é uma empresa inovadora focada em transformar a educação através do aprendizado online e do ensino personalizado. Ela atende a uma vasta gama de alunos, incluindo estudantes do ensino fundamental e médio, adultos, famílias militares, empresas e distritos escolares. A Stride oferece uma variedade de produtos e serviços educacionais, que incluem soluções para a educação básica, programas de desenvolvimento de carreira e tutoria personalizada. Com um compromisso com a responsabilidade social e a inclusão, a Stride visa ajudar aprendizes de todas as idades a atingir seu pleno potencial, proporcionando oportunidades de aprendizado flexíveis e eficazes, tanto em escolas públicas online quanto fora delas. A Stride também está envolvida no desenvolvimento de ferramentas para educadores e apoio a empresas, oferecendo opções de desenvolvimento de carreira e acesso a uma força de trabalho talentosa. A empresa é negociada publicamente na NYSE sob o símbolo LRN.

Descrição

• Develop and maintain Python-based analytical workflows to support machine learning model development, scoring, validation, and performance monitoring. • Design and build scalable, production-grade datasets and feature tables to support reporting, experimentation, and predictive modeling initiatives. • Write complex SQL queries to integrate multi-source marketing, CRM, and enrollment data, ensuring data accuracy, consistency, and performance optimization. • Engineer and validate model features to support advanced marketing analytics initiatives, including multi-touch attribution, marketing mix modeling, lead scoring, and customer lifetime value. • Partner in the deployment and operationalization of predictive models into production environments, ensuring reliable and automated data pipelines. • Contribute to the design and enhancement of marketing analytics data architecture to ensure data is accessible, reliable, and reusable across teams. • Identify and implement process improvements, including pipeline optimization, automation of manual workflows, and infrastructure redesign for scalability and performance. • Perform complex analyses on marketing, digital, and call center data to identify drivers of conversion and enrollment performance. • Conduct root cause analysis across traffic, campaign, and enrollment datasets to uncover actionable business insights. • Design automated reporting solutions that empower business stakeholders to self-serve insights while ensuring data governance and consistency.

🎯 Requisitos

• Bachelor’s Degree. Mathematics, Statistics, Economics or other discipline with a significant statistics component • Four (4) years’ related experience OR equivalent combination of education and experience • 3-5 years’ experience with SQL, transforming/manipulating data for reporting and analysis • Three (3) years working with a large data warehouse • 2 – 3 years’ experience with Excel for data exploration, visualization, and reporting • Advanced proficiency with Excel and data visualization tools, preferably Power BI/Tableau • 1 year experience with Python, R or other programming languages • 2 – 3 years’ corporate experience and be able to work with other team members • Experience in marketing analytics, marketing measurement and business analytics (e.g., report generation, marketing campaign analysis, web analytics, AB testing, email performance, social media measurement, content testing, etc.) • 2 years’ experience engaging with business stakeholders to gather requirements, present results, perform QA on results, manage backlogs and project status • Strong Excel skills related to database/table functions • Strong problem solving, quantitative and analytical abilities • Keen attention to detail • Microsoft Office (Outlook, Word, Excel, PowerPoint, Project, Visio, etc.); Web proficiency. • Ability to travel 10% of the time • Ability to clear required background check.

🏖️ Benefícios

• Health benefits • Retirement contributions • Paid time off