Senior Data Analyst

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $66 379 - $110 000 / an

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Stride, Inc.

Stride, Inc.

5001 - 10000 employés

Fondée en 2000

📚 Éducation

🛍️ eCommerce

☁️ SaaS

Education • eCommerce • SaaS

Stride, Inc. est une entreprise innovante dédiée à la transformation de l'éducation par l'apprentissage en ligne et l'enseignement personnalisé. Elle s'adresse à une gamme diversifiée d'apprenants, y compris les élèves du primaire et du secondaire, les adultes apprenants, les familles militaires, les entreprises et les districts scolaires. Stride propose une variété de produits et services éducatifs, incluant des solutions pour l'éducation K-12, des programmes de développement de carrière, et du tutorat personnalisé. Engagée envers la responsabilité sociale et l'inclusion, Stride vise à aider les apprenants de tous âges à réaliser leur plein potentiel en fournissant des opportunités d'apprentissage flexible et efficaces, tant dans les écoles publiques en ligne qu'au-delà. Stride est également impliquée dans le développement d'outils pour les éducateurs et le soutien aux entreprises en offrant des options de développement de carrière et l'accès à une main-d'œuvre talentueuse. L'entreprise est cotée en bourse sur le NYSE sous le symbole LRN.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Health benefits • Retirement contributions • Paid time off

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