Senior Data Analyst

The Senior Data Analyst role at Stride, Inc. supports school leadership with analytical modeling, reporting, and decision-support for performance, funding, and compliance.

Responsibilities

• Collaborate with school executives, business leaders, and stakeholders to understand key business performance drivers, complex state funding and compliance requirements, student enrollment and retention dynamics, business processes, and analytical needs
• Provide data-driven insights and recommendations that support financial, strategic, and operational decision-making
• Convert state funding methodologies, compliance requirements, retention drivers, and other business rules into mathematical models and scalable analytical solutions using Python and SQL
• Build, maintain, and validate analytical models, datasets, reports, and dashboards for performance metrics, state funding, regulatory compliance, enrollment and retention, forecasting, and operational decisions
• Analyze complex datasets to surface trends, risks, opportunities, and underlying performance drivers, including changes in funding, compliance, enrollment, and student retention
• Create and analyze student retention metrics to identify trends, drivers, and opportunities across schools, student populations, and stages of the student lifecycle
• Document state funding and compliance rules, business requirements, model logic, data definitions, and analytical processes to support accuracy, consistency, transparency, and scalability

Requirements

• 3+ years of experience in data analytics, financial analytics, business intelligence, or a related role
• Ability to clear the required background check
• Advanced proficiency in SQL and proficiency in Python for data analysis, modeling, and automation
• Experience translating complex business rules or policies into structured calculations and analytical models
• Strong analytical, problem-solving, and data validation skills
• Strong written and verbal communication skills, including work with business stakeholders and senior leaders
• Experience with data visualization tools such as Power BI or Tableau and cloud data platforms such as Snowflake
• Advanced Microsoft Excel proficiency; working proficiency with Outlook, Word, and PowerPoint
• Ability to travel as required by the position

Technologies

• Python
• SQL
• Power BI
• Tableau
• Snowflake
• Microsoft Excel
• Outlook
• Word
• PowerPoint

Benefits

• Eligible employees may receive a bonus
• Health benefits
• Retirement contributions
• Paid time off

Supervisory Responsibilities

• No formal supervisory responsibilities

Desired Qualifications

• Bachelor’s degree in Data Analytics, Finance, Economics, Mathematics, Computer Science, Information Systems, Business, or a related field

Work Environment

• Virtual role
• Open to residents of the 50 states and D.C.

Location: Virginia (remote). Compensation: USD 84,338 - 101,206 per year.