Senior Data Analyst

Stride, Inc.•US - VA - Remote, VA
•$84,338 - $101,206•Remote

About The Position

The Senior Data Analyst partners with business leaders to identify, define, and analyze key performance metrics and operational drivers. The role translates complex business requirements and data into scalable analytical models using Python and SQL, and delivers actionable insights, reporting, and decision-support tools to help leaders monitor performance, identify trends and opportunities, and make strategic and operational decisions. The analyst works with school executives, business leaders, and other stakeholders on business performance, state funding and compliance requirements, student enrollment and retention, business processes, and analytical needs. The position develops and validates models, datasets, reports, and dashboards; analyzes performance drivers and trends; and documents business rules, model logic, data definitions, and analytical processes. This position has no formal supervisory responsibilities. The position is virtual and open to residents of the 50 states and Washington, D.C. The anticipated salary range is $84,338 to $101,206. Eligible employees may receive a bonus. Stride offers eligible employees a benefits package that can include health benefits, retirement contributions, and paid time off. The position is regular, and travel may be required as needed.

Requirements

  • At least three 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.
  • Demonstrated ability to translate 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 experience working 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 and working proficiency with Outlook, Word, and PowerPoint.
  • Ability to travel as required by the position.

Nice To Haves

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

Responsibilities

  • Partner with school executives, business leaders, and other stakeholders to understand business performance drivers, state funding and compliance requirements, enrollment and retention dynamics, business processes, and analytical needs, and provide data-driven insights and recommendations.
  • Translate state funding methodologies, compliance requirements, retention drivers, and other complex business rules into mathematical models and scalable analytical solutions using Python and SQL.
  • Develop, maintain, and validate analytical models, datasets, reports, and dashboards supporting performance metrics, state funding, regulatory compliance, enrollment and student retention, forecasting, and operational decision-making.
  • Analyze complex datasets to identify trends, risks, opportunities, and underlying performance drivers related to funding, compliance, enrollment, retention, and other key business metrics.
  • Develop and analyze student retention metrics to identify trends, drivers, and opportunities across schools, student populations, and points in 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.

Benefits

  • Eligible employees may receive a bonus.
  • Eligible employees may receive health benefits, retirement contributions, and paid time off.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service