AI/ML Data Insights Consultant

Accenture Australia & New Zealand

Auckland

On-site

NZD 100,000 - 120,000

Full time

5 days ago

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Job summary

Accenture Australia & New Zealand is looking for a Data & AI Consultant to turn complex data into actionable insights and practical solutions. You will support data analytics initiatives across reporting, transformation and advanced analytics, while building expertise in modern Data & AI technologies.

The role involves analyzing data to identify trends, developing dashboards, and translating findings into recommendations for stakeholders.

Qualifications

Proficiency in data analysis with ability to derive meaningful business insights from complex datasets.
Proficiency in SQL and Python for data analysis, transformation and/or analytics.
Experience developing dashboards and reporting solutions using Power BI and/or Tableau.
Experience with data cleaning, transformation, ETL/ELT and data integration.
Experience developing KPI reporting, business insights and performance analytics.
Ability to translate complex data into clear insights and recommendations for stakeholders.
Experience collaborating with business and technical teams to deliver data-driven solutions.
Exposure to cloud-based data platforms and modern data environments.
Bachelor’s degree in a relevant field.

Responsibilities

Analyse business, operational and customer data to identify trends and opportunities for improvement.
Develop and maintain dashboards, reports and data visualisations to support performance monitoring.
Use SQL and Python to extract, clean, transform and analyse data from multiple sources.
Develop and enhance data transformation and integration workflows across enterprise systems and cloud environments.
Translate analytical findings into clear insights and practical recommendations for stakeholders.
Develop KPI reporting and performance measurement solutions to improve visibility of outcomes.
Contribute to predictive modelling, forecasting and advanced analytics activities.
Work with business, data, technology and governance stakeholders to understand requirements and deliver data solutions.
Support data quality, data mapping, governance and access-control activities.
Identify opportunities to improve and automate reporting and analytics processes.
Contribute to project delivery through documentation, analysis, testing and stakeholder engagement.