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Specialist – Amazon QuickSight / Prompt Engineering

Expired
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Ingrity
Sydney, NSW
hybrid
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Posted 7 months ago
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About the Role

We're looking for a specialist who sits at the intersection of data visualisation, analytics, and AI. This role is ideal for someone who has strong hands-on experience with Amazon QuickSight, or alternatively deep capability in prompt engineering and working with AI-driven analytics and insights.

You'll play a key role in helping teams turn complex data into clear, actionable insights — whether that's through intuitive dashboards, embedded analytics, or AI-assisted querying and reporting.

This is not a generic BI role. We're looking for someone who enjoys problem-solving, experimentation, and shaping how data and AI are actually used by the business.

What You'll Do

  • Design, build, and optimise Amazon QuickSight dashboards and reports for business and technical stakeholders
  • Translate business questions into meaningful data visualisations or AI-driven insights
  • Work closely with data engineers, product, and business teams to ensure analytics are accurate, scalable, and impactful
  • Apply prompt engineering techniques (where relevant) to improve AI-assisted analysis, reporting, or decision-making
  • Iterate quickly — testing, refining, and improving dashboards, prompts, or insights based on real user feedback
  • Help uplift data literacy and adoption across teams

What We're Looking For

  • Strong experience with Amazon QuickSight (dashboarding, datasets, SPICE, permissions, performance tuning), or
  • Proven experience in prompt engineering, AI-assisted analytics, or working with LLMs in a data context
  • Solid understanding of data concepts (SQL, metrics, data modelling, analytics workflows)
  • Ability to explain complex insights clearly to non-technical stakeholders
  • Curious mindset — comfortable experimenting, learning, and improving how analytics or AI is used

Nice to Have

  • Experience working in AWS-native environments
  • Exposure to GenAI tools, embedded analytics, or self-serve BI platforms
  • Background in consulting, product-led teams, or high-growth tech environments

Why Join?

  • Work on modern data and AI-driven problems, not legacy reporting
  • High autonomy and influence — your work will be visible and impactful
  • Flexible working arrangements
  • Opportunity to shape how analytics and AI are used across the organisation