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Data Analyst

raja.j.tariq@gmail.com London, United Kingdom £60000 - £80000

Job Description

Key Responsibilities

  • Analyze large-scale transactional and behavioral datasets from the LMS to uncover trends in learner engagement and course completion rates.
  • Design, build, and maintain interactive business intelligence (BI) dashboards tailored for executives, project managers, and internal teams.
  • Develop predictive models and data segmentations to identify at-risk learners, optimizing retention and training efficacy.
  • Collaborate with data engineering and development teams to ensure data integrity, consistent data modeling, and robust reporting pipelines.
  • Formulate clear, concise narrative reports and data-driven presentations that communicate technical findings to non-technical stakeholders.
  • Conduct exploratory data analysis to evaluate the real-world performance and user interaction metrics of embedded AI features.
  • Establish and monitor data quality frameworks, identifying data collection gaps within the Moodle and custom application ecosystems.

Skills and Experience

Essential Requirements

  • Proven experience as a Data Analyst, Insights Analyst, or Business Intelligence Specialist.
  • Strong proficiency in SQL for data extraction, manipulation, and advanced querying across relational databases.
  • Hands-on expertise with industry-standard BI and data visualization tools such as Power BI, Tableau, or Looker Studio.
  • Solid baseline knowledge of data analysis utilizing programming languages like Python or R (specifically libraries like Pandas and NumPy).
  • Professional communication skills are essential. Candidates must possess excellent English communication skills, both written and verbal.

Nice to have

  • Direct experience extracting and interpreting data structures from the Moodle LMS database architecture (log tables, completion criteria).
  • Basic understanding of predictive modeling, machine learning concepts, or statistical analysis within EdTech.
  • Experience utilizing JavaScript-based visualization libraries (such as D3.js or Chart.js) to craft bespoke reporting widgets.
  • Knowledge of local public-sector reporting formats, data governance policies, and compliance workflows within Pakistan.

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