Data Insights Professional

4 days ago

Sydney, New South Wales, Australia Pearson Full time

Pearson Workforce Solutions data and AI team is responsible for creating innovative products that use a research-driven approach. As a Data Analyst, you will be part of this team, focusing on data modelling, visualization, and insights development.

This role is centered on using data and research to understand emerging technologies' impact on the workforce. Key responsibilities include:

  • Conducting research on new technologies and trends in their adoption and disruption of work and industries.
  • Developing clear and interactive data visualizations and dashboards using tools like Tableau or Power BI to communicate complex insights and trends.
  • Ensuring data accuracy and reliability through benchmarking, quality checks, documenting methodologies, and translating complex technical findings into accessible insights.
  • Developing, validating, and refining predictive models related to workforce impacts, providing critical data inputs and exploratory analyses to validate assumptions and outputs.
  • Cleaning, preprocessing, and transforming large and complex datasets using Python and SQL, ensuring data quality and consistency.
  • Collaborating with data scientists, product managers, and customer teams to identify key research questions, provide actionable data visualizations, and deliver insights.

Requirements include:

  • Data Analyst Experience: 2+ years in data analytics.
  • Experience researching, developing, and validating predictive models.
  • Ability to create compelling visualizations and communicate complex topics effectively using various tools.
  • Python Proficiency: Solid experience in Python for data processing tasks, cleaning, and conducting analyses.
  • SQL and Database Management: Competent in performing SQL queries for effective data extraction, manipulation, and analysis.
  • Generative AI: Foundational understanding of generative AI concepts, with the ability or interest to apply these technologies to improve data quality, research, and validation.

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