We are looking for a talented NLWA PowerBI Data Analyst to support a variety of services and deliver against corporate cross-cutting priorities. As a NLWA PowerBI Data Analyst, you will use data from internal and external sources to carry out insightful analytics for various professional roles and audiences. You will have significant expertise in PowerBI, including using PowerQuery, combining multiple data sets, building semantic models, and using DAX expressions. Your responsibilities will include data analysis and synthesis, communication with stakeholders, data management, data modelling, cleansing and enrichment, data quality assurance, validation and linkage, data visualisation, IT and mathematics application, logical and creative thinking, project management, and statistical methods and data analysis.
Responsibilities:
Carry out insightful analytics for various professional roles and audiences
Apply basic techniques for data analysis from internal and external sources
Communicate effectively with stakeholders in various roles
Understand and promote data governance practices
Produce and maintain data models/dashboards
Identify appropriate ways to collect, collate, and prepare data
Take advantage of a wide variety of data visualisation tools and methodologies
Apply IT and mathematical skills in a sensitive manner to information security
Respond effectively to problems in databases, data processes, data products, and services
Apply project management methodologies and collaborate with colleagues to achieve objectives
Apply statistical techniques to generate insight and answer business questions
Requirements
Requirements:
Proven experience as a Data Analyst or similar role
Proficient in PowerBI, including PowerQuery, DAX expressions, and building semantic models
Strong analytical and problem-solving skills
Excellent communication and presentation skills
Knowledge of data governance and data management best practices
Experience in data modelling, data visualisation, and statistical methods
Bachelor's degree in Computer Science, Statistics, or related field