Lead Data Analyst: Education Tech Insights Leader

WGU

Nashville (TN)

Presencial

USD 91.000 - 136.000

Jornada completa

Hace 3 días
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Descripción de la vacante

The Lead Data Analyst for Craft Education in Nashville is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff.

They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through data storytelling and media that enable

Formación

  • Extract, process, analyze, and report on data to produce rigorous, actionable insights.
  • Develop ad hoc analyses and standard reports to inform decision-making.
  • Translate business questions into data-driven requirements and outputs.
  • Create compelling data visualizations to support leadership discussions.

Responsabilidades

  • Drives the documentation of data, analytics, and research needs with a student-centered lens.
  • Leads the translation of user stories into technical requirements.
  • Establishes trust and builds relationships with cross-functional partners and senior stakeholders.
  • Answers complex business questions using the university's data assets across several domains.
  • Identifies, evaluates, and sources data to test hypotheses and generate forecasts.
  • Collaborates with Data Engineering on ETL/ELT processes and data pipelines.
  • Contributes to data management standards to improve quality and accessibility.

Conocimientos

Data analysis
Data storytelling
Data visualization
Cross-functional collaboration
Stakeholder management

Descripción del empleo

The Lead Data Analyst for Craft Education in Nashville is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff.

They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through data storytelling and media that enable

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