*Ai/Ml Computational Science Specialist*

Accenture Global; Auckland; Sur place; NZD 100 000 - 120 000; Plein temps

Résumé du poste

Accenture Auckland is seeking a Data & AI Consultant to turn complex data into meaningful insights and practical solutions. You will support data and analytics initiatives across reporting, data transformation and advanced analytics while expanding your expertise in modern Data & AI technologies.

You will analyse business, operational and customer data, develop dashboards using Power BI or Tableau, and apply SQL and Python to extract, clean and model data.

Qualifications

• Proficiency in translating data into insights that inform business decisions.
• Strong skills in SQL and Python for data analysis and transformation.
• Experience building dashboards and reports with Power BI and/or Tableau.
• Experience with data cleaning, transformation, ETL/ELT and data integration.

Responsabilités

• Analyse business, operational and customer data to identify trends and opportunities.
• Develop and maintain dashboards, reports and data visualisations for performance monitoring.
• Use SQL and Python to extract, clean, transform and analyse data from multiple sources.
• Develop data transformation workflows across enterprise and cloud environments.
• Translate analytical findings into actionable insights for stakeholders.
• Develop KPI reporting and performance analytics to improve visibility.
• Collaborate with business, data, technology and governance stakeholders to deliver data solutions.
• Support data quality, governance and access-control activities.

Connaissances

Data analysis

SQL

Python

Dashboard development

Formation

Bachelor's degree

Outils

Power BI

Tableau

Azure Data Factory

Description du poste

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at [accenture.com](#). Discover the opportunity to contribute actively and independently as a Data & AI Consultant, working with business and technical teams to turn complex data into meaningful insights and practical solutions. You will support the delivery of data and analytics initiatives across reporting, business insights, data transformation and advanced analytics, while continuing to build your expertise across modern Data & AI technologies.

• 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.

HERE'S WHAT YOU WILL NEED

• 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.

BONUS POINTS IF YOU HAVE

• 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.

Location: Auckland Salary range: NZD $100,000 – NZD $120,000 Standard Working hours: 37.5 hours/week Equal Employment Opportunity Statement for Australia and New Zealand: At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to [e-mail] or contact us at [phone] (Australia) or [phone] (New Zealand). Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement. #LI-GM #LI_GM .

Read more about our Privacy Statement. #LI-GM #LI_GM .

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at [www.accenture.com](#)

Equal Employment Opportunity Statement for New Zealand:

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email [[e-mail]](#) and cite the relevant Job Number, or contact us on [phone]. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our [Privacy Statement.](#)