Senior Data Analyst

The Senior Data Analyst is responsible for partnering with business leaders to identify, define, and analyze key performance metrics and operational drivers across the business. 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 that enable leaders to monitor performance, identify trends and opportunities, and make informed strategic and operational decisions.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

• Partner directly with school executives, business leaders, and other stakeholders to understand key business performance drivers, complex state funding and compliance requirements, student enrollment and retention dynamics, business processes, and analytical needs, and provide data-driven insights and recommendations that support financial, strategic, and operational decision-making.
• 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 key 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, including changes in funding, compliance, enrollment, student retention, and other key business metrics.
• Develop and analyze student retention metrics to identify trends, drivers, and areas of opportunity across schools, student populations, and key 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.

This position has no formal supervisory responsibilities.

• Three (3) or more years of experience in data analytics, financial analytics, business intelligence, or a related role.

• 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; working proficiency with Outlook, Word, and PowerPoint.
• Ability to travel as required by the position.

None required.

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

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• This position is virtual and open to residents of the 50 states, D.C.

Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal…