Data Analyst

Arsenault is a global leader in partnering with companies to transform and manage their businesses by harnessing the power of technology. Recognised by Ethisphere as one of the World's Most Ethical Companies for the last ten years in a row, we are a diverse, values-driven organisation of over 325,000 team members in more than 50 countries. Now is the time to join our Australian and New Zealand business as we rapidly expand - purposefully investing into specific technology capabilities whilst designing and driving integrated strategies and solutions across our business lines. This is an opportunity to be at the forefront of finding new ways technology can help us reimagine what's possible, collect unique career experiences with global clients and game-changing tech projects. The speed of change is throwing traditional business methods into question and disrupting the relevance of entire industries. Arsenault, a global leader in consulting, digital transformation, technology and engineering services, is at the forefront of innovation and well placed to address opportunities for our clients in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Arsenault enables organisations to realise their business ambitions through an array of services from strategy to operations. Arsenault is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company with over 270,000 team members in almost 50 countries. With Altran, the Group reported 2020 combined revenues of EUR 15.8 billion. Let's talk about the team: Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies and they choose to partner with Arsenault for a very good reason - our exceptional people. Let's talk about the role and responsibilities: Experienced data analyst responsible for conducting assessment of data environment maturity Facilitate workshops with stakeholders to establish and communicate requirements for business intelligence, reporting and evidence-based decision-making Identify data sources Design and develop systems for data acquisition Identify data quality issues Conduct data profiling and defining data quality rules to organise data in useable formats that deliver value to the organisation Identify critical data elements by understanding the information needs, information architecture and data flows Determine and configure data platform/infrastructure Analyse data to find answers to specific questions, identify trends and patterns and/or test hypotheses Identify the root cause of the data quality issues by interacting with business stakeholders, technology stakeholders and data provider(s) Develop business definitions, technical definitions and data quality rules and…