Data Insight Lead — Student Experience & Insights

CamWebDir

Cambridge

Remoto

GBP 45.000 - 65.000

Tempo pieno

35 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Generous holiday entitlement
Pension scheme
Training & development opportunities
Relocation package

Descrizione del lavoro

Anglia Ruskin University in Cambridge is seeking a Data Insight Lead (Student Experience) to lead on the design and delivery of advanced qualitative and quantitative data analysis from surveys, including student satisfaction and graduate outcomes.

You will extract, collate, validate, interpret and clearly present findings from large datasets, collaborating with colleagues across the University, survey providers and statutory agencies to support survey planning and delivery and training data

Competenze

  • Proven ability to conduct advanced qualitative and quantitative data analysis.
  • Experience with survey data and large, complex datasets.
  • Strong statistical skills and ability to present findings clearly to diverse audiences.

Mansioni

  • Lead on design and delivery of analysis from surveys (student satisfaction, graduate outcomes, evaluations).
  • Extract, collate, validate, interpret and present findings from datasets; apply best-practice tools and techniques.
  • Collaborate with colleagues across the university, survey providers and statutory agencies to support survey planning and delivery.

Conoscenze

Data analysis
Statistics
Data visualization
Survey data
Communication

Formazione

Degree in a relevant field

Strumenti

SQL
R
Python (pandas)
Power BI

Descrizione del lavoro

Anglia Ruskin University in Cambridge is seeking a Data Insight Lead (Student Experience) to lead on the design and delivery of advanced qualitative and quantitative data analysis from surveys, including student satisfaction and graduate outcomes.

You will extract, collate, validate, interpret and clearly present findings from large datasets, collaborating with colleagues across the University, survey providers and statutory agencies to support survey planning and delivery and training data

Ottieni la revisione del curriculum gratis e riservata.

o trascina qui il file.

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