Data Insights Specialist

13 hours ago

Melbourne, Victoria, Australia beBeeDataInsights Full time $90,000 - $110,000
Job Title: Data Insights Specialist

The role of a Data Insights Specialist is pivotal in leveraging data to drive strategic decisions related to human capital. This position combines data science, employee experience and business strategy, necessitating a blend of analytical skills, HR knowledge and critical thinking.

This specialist will develop, maintain and improve PowerBI dashboards tailored for specific teams, including executive leadership, people leaders and the remuneration team. They will collaborate with the People function to analyse employee data, identify trends, and provide strategic insights for informed decision-making and continuous improvement within the organisation.

The specialist will craft compelling narratives around data insights, translating sophisticated findings into actionable recommendations for different stakeholders. They will stay updated on industry standard methodologies, new technologies, and advancements in data visualization tools to continuously enhance PowerBI dashboard capabilities.

This role also involves training and mentoring team members on building a strong narrative around data findings, improving their ability to convey insights persuasively.

Key Responsibilities:
  • Develop and maintain high-quality PowerBI dashboards for various teams.
  • Analyse employee data, identifying trends and providing strategic insights.
  • Craft compelling narratives around data findings, translating them into actionable recommendations.
  • Stay up-to-date on industry standard methodologies, new technologies and advancements in data visualization tools.
  • Train and mentor team members on building a strong narrative around data findings.
Requirements:
  • Bachelor's degree in Computer Science, Data Analytics, Data Science or a related field; preferably specialising in People Analytics.
  • Experience in data analysis, preferably in an HR or people analytics role.
  • Proficiency in statistical analysis, data manipulation and data visualisation using tools such as Python, SQL and PowerBI.
  • Experience working in data lakes (e.g. Snowflake Microsoft, AWS or Google) as well as with legacy data warehouses such as SQL databases.
  • Understanding of HR processes, metrics and standard methodologies.
  • Proven record of working independently, prioritising tasks and balancing multiple projects simultaneously.

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