Senior Data Analyst @Stride, Inc.
Data and Analytics
Salary usd 84,338 - 10..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] Senior Data Analyst @Stride, Inc.

YDay - Stride, Inc. is hiring a remote Senior Data Analyst. πŸ’Έ Salary: usd 84,338 - 101,206 per year πŸ“Location: USA

Role Description

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.

  • 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.
  • 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.
  • 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.

Qualifications

  • 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.

Requirements

  • Ability to clear the required background check.

Benefits

  • Eligible employees may receive a bonus.
  • Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.

Company Description

Stride, Inc. is an equal opportunity employer. Applicants receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other basis prohibited by federal, state, or local law.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Analyst @Stride, Inc.
Data and Analytics
Salary usd 84,338 - 10..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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