Data Analyst

New
Remote- UKFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
2+ years' experience in a Data Analyst or similar role.
Required Skills
PythonSQLMicrosoft Power BITableauMicrosoft ExcelData modelingDatabricksR

Requirements

  • Hold a degree or have equivalent practical experience in a quantitative discipline such as mathematics, statistics, computer science or software engineering.
  • Have 2+ years' experience in a Data Analyst or similar role.
  • Be proficient with SQL and Excel.
  • Be proficient with at least one analytical programming language, such as Python or R.
  • Understand data modelling and statistical analysis.
  • Have experience creating dashboards and visualisations using tools such as Tableau, Power BI or Looker Studio.
  • Have strong analytical and problem-solving skills.
  • Communicate clearly with technical and non-technical stakeholders.
  • Work effectively with colleagues across the business.
  • Demonstrate attention to detail and a commitment to producing accurate, reliable data.
  • Experience with Databricks or similar data platforms is desirable.
  • Experience working in an agile environment is desirable.
  • Experience within the education technology sector is desirable.
  • Familiarity with Confluence or a similar documentation platform is desirable.
  • Experience using AI tools to improve analysis, reporting or workflow efficiency is desirable.

Responsibilities

  • Collect, clean and analyse data from a variety of sources.
  • Help maintain data quality, accuracy and consistency.
  • Develop and maintain data models, dashboards and reports.
  • Work with stakeholders to understand data requirements and business questions.
  • Analyse trends and patterns to generate actionable insights.
  • Present findings clearly to technical and non-technical audiences.
  • Support data-driven initiatives across the business.
  • Contribute to the design and implementation of data-driven solutions.
  • Keep up to date with developments in data analysis tools and best practice.
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