Senior Data Analyst — Strategy & Enrollment Insights (Remote)

Stride, Inc.; Richmond (VA); Remote; USD 84.000 - 101.000; Vollzeit

Zusammenfassung

Stride, Inc. is seeking a Senior Data Analyst to partner with school executives and business leaders to define and analyze performance metrics across the organization.

The role uses Python and SQL to build scalable models, dashboards, and decision-support tools that drive financial and operational planning. The ideal candidate has 3+ years in data analytics, strong SQL and Python skills, experience with Power BI or Tableau, and the ability to translate complex rules into actionable insights.

Qualifikationen

• Three or more years of experience in data analytics, financial analytics, BI, or related role.
• Advanced SQL and Python for data analysis, modeling, and automation.
• Experience with Power BI or Tableau and Snowflake.
• Excellent written and verbal communication with stakeholders.
• Willingness to travel as required.

Aufgaben

• Partner with school executives, business leaders, and stakeholders to understand performance drivers and analytical needs.
• Translate complex requirements into scalable models using Python and SQL.
• Develop, maintain, and validate dashboards and reports for KPIs, funding, compliance, enrollment and retention.
• Analyze complex datasets to identify trends, risks, opportunities and drivers of performance.
• Document data definitions, rules, and processes to support accuracy and scalability.

Kenntnisse

SQL

Python

Data visualization

Excel

Communication skills

Problem-solving

Ausbildung

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

Tools

Power BI

Tableau

Snowflake

Jobbeschreibung

Stride, Inc. is seeking a Senior Data Analyst to partner with school executives and business leaders to define and analyze performance metrics across the organization.

The role uses Python and SQL to build scalable models, dashboards, and decision-support tools that drive financial and operational planning. The ideal candidate has 3+ years in data analytics, strong SQL and Python skills, experience with Power BI or Tableau, and the ability to translate complex rules into actionable insights.