AI/ML Computational Science Specialist

Auckland, Auckland

Full-time

Onsite

$100K/yr - $120K/yr

Entry Level

Accenture is hiring a Data & AI professional to support delivery of data and analytics initiatives across reporting, business insights, data transformation and advanced analytics. The role analyzes data, develops reporting and data solutions, and translates findings into practical recommendations for stakeholders.

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Responsibilities

Analyse business, operational and customer data to identify trends, patterns, performance drivers and opportunities for improvement
Develop and maintain dashboards, reports and data visualisations to support business performance monitoring and decision-making
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-based data environments
Translate analytical findings into clear insights and practical recommendations for business and technical stakeholders
Develop KPI reporting and performance measurement solutions to improve visibility of business and operational outcomes
Contribute to predictive modelling, forecasting and advanced analytics activities to support data-driven decision-making
Work collaboratively with business, data, technology and governance stakeholders to understand requirements and deliver fit-for-purpose data solutions
Support data quality, data mapping, governance and access-control activities to enable trusted and compliant use of data
Identify opportunities to improve and automate existing reporting, analytics and data processes
Contribute to project delivery through documentation, analysis, testing and stakeholder engagement

Qualification

Required

Proficiency in Data Analysis & Interpretation, with experience deriving meaningful business insights from complex datasets
Proficiency in SQL and experience using 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 and analytical findings into clear insights and recommendations for stakeholders
Experience collaborating with business and technical teams to understand requirements and deliver data-driven solutions
Exposure to cloud-based data platforms and modern data environments
A minimum of 1 year of relevant professional experience in data, analytics, insights or a related discipline
Bachelor's degree in a relevant field of study

Preferred

Experience in Predictive Modelling and Analytics
Experience with Azure Data Factory, Databricks or similar cloud data technologies
Experience with enterprise data sources or platforms such as Salesforce, Workday or ServiceNow
Experience with data governance, data lifecycle management and access controls
Experience working within large or complex enterprise environments
Experience collaborating across data, engineering, product and business teams
Exposure to AI & Data Strategy and emerging AI technologies
Experience using analytics to support customer, operational or product-focused business decisions