Senior Data Analyst

Stride, Inc.•US - VA - Remote, VA

5d•$66,379 - $110,000•Remote

About The Position

The Senior Data Analyst will play a crucial role in the Stride Marketing Organization and will work cross functionally across marketing to help inform our marketing strategy, website optimization and campaign decisions. This role will collaborate closely within the Marketing Analytics team to design, build, and enhance the Marketing data infrastructure, and leverage advanced analytics and predictive modeling to deliver actionable insights that drive measurable business impact.

Requirements

Bachelor’s Degree in Mathematics, Statistics, Economics or other discipline with a significant statistics component AND 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

Nice To Haves

Master’s Degree
Knowledge of coding languages or developer tools, such as R, Python, etc.
Technologies: SQL, PowerBI, Tableau, Excel, Snowflake, Python, Salesforce, DBT

Responsibilities

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.