Data & AI Analytics Consultant (SQL/Python, Dashboards)

Accenture

Auckland

On-site

NZD 100,000 - 120,000

Full time

3 days ago

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Job summary

Accenture Auckland is seeking a Data & AI Consultant to translate complex data into insights and practical solutions, supporting data and analytics initiatives across reporting, transformation and advanced analytics. You will analyse business data to identify trends, develop dashboards and reports, and use SQL and Python to extract, clean and transform data from multiple sources.

You will collaborate with business and technology teams to deliver fit-for-purpose data solutions.

Qualifications

Proficiency in Data Analysis & Interpretation, with experience deriving 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 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.

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.