Business Analyst II

WorleyHouston, TX

About The Position

Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions. This role supports Supply Chain Management (SCM) digital transformation strategies and delivery for data, platforms, modelling, reporting and automation, providing operative strategic insights for Supply Chain business management decisions to achieve continuous value across the Supply Chain and its operations for better, faster decisions that result in function progression and effectiveness. The role undertakes strategic and transactional analysis, supports benchmarking activities, reviews ways of working, and supports delivery programs to drive innovation, improvements, and simplification across SCM reporting tools and processes. It prioritizes SCM data management and digital innovation programs within Project Delivery, assisting and supporting SCM Regional lines of business and SCM Tools. The Business Analyst acts as an interface between SCM and Digital Teams, successfully embedding digital and technology innovations into processes, such as predictive and prescriptive analytics, to monitor and improve SCM operational performance. It supports, drives, monitors and improves the implementation of logistics modelling across Regions and Projects. The role helps drive data and analytics into the center of the SCM’s digital transformation strategy to allow SCM to take advantage of big data and supports the leveraging of AI-based technologies to tap into the potential of big data.

Requirements

  • Support Supply Chain Management (SCM) digital transformation strategies and delivery for data, platforms, modelling, reporting and automation, that provides operative strategic insights for Supply Chain business management decisions such that continuous value across the Supply Chain and its operations is achieved to make better, faster decisions that result in function progression and effectiveness.
  • Undertake strategic and transactional analysis, support benchmarking activities, review ways of working, support delivery programs to drive innovation, improvements, and simplification across SCM reporting tools and processes.
  • Prioritize SCM data management and digital innovation programs within Project Delivery, assisting and supporting SCM Regional lines of business and SCM Tools.
  • Act as an interface between SCM and Digital Teams, successfully embedding digital and technology innovations into processes, such as predictive and prescriptive analytics, to monitor and improve SCM operational performance.
  • Support, drive, monitor and improve the implementation of logistics modelling across Regions and Projects.
  • Help drive data and analytics into the center of the SCM’s digital transformation strategy to allow SCM to take advantage of big data.
  • Support the leveraging of AI-based technologies to tap into the potential of big data.

Nice To Haves

  • Leveraging extensive experience and AI-enabled delivery
  • Google Analytics
  • Adobe Analytics
  • Power BI
  • Tableau
  • predictive and prescriptive analytics
  • AI-based technologies

Responsibilities

  • Gathering, validating, and documenting supply chain business requirements using appropriate tools and techniques.
  • Identify, evaluate and implement tools (Google Analytics, Adobe Analytics, Power BI, Tableau) to support data validation, cleansing and analysis of supply chain spend and supplier data.
  • Provide insight and analysis through clear visual, written and verbal communication.
  • Modelling business processes and identifying opportunities for process improvements.
  • Identifying issues, risks and benefits of existing and proposed solutions and outlining business impacts.
  • Implementing functional specifications and testing for solutions.
  • Review estimating costs and identifying business savings.
  • Simplifying information and deciphering technical jargon so it is easily understood by the whole team.
  • Supporting business transition and helping to establish change.
  • Develop records management processes and policies.
  • Identify areas to increase efficiency and automation of processes.
  • Set up and maintain automated data processes.
  • Produce and track key performance indicators.
  • Develop and support reporting processes.
  • Monitor and audit data quality.
  • Liaise with internal and external clients to fully understand data content.
  • Design and carry out surveys and analyze survey data.
  • Prepare reports for internal and external audiences using business analytics reporting tools.
  • Create data dashboards, graphs and visualizations.
  • Provide market sector and Supplier competitor benchmarking.
  • Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.
  • Support Supply Chain Management (SCM) digital transformation strategies and delivery for data, platforms, modelling, reporting and automation.
  • Undertake strategic and transactional analysis, support benchmarking activities, review ways of working, support delivery programs to drive innovation, improvements, and simplification across SCM reporting tools and processes.
  • Prioritize SCM data management and digital innovation programs within Project Delivery, assisting and supporting SCM Regional lines of business and SCM Tools.
  • Act as an interface between SCM and Digital Teams, successfully embedding digital and technology innovations into processes, such as predictive and prescriptive analytics, to monitor and improve SCM operational performance.
  • Support, drive, monitor and improve the implementation of logistics modelling across Regions and Projects.
  • Help drive data and analytics into the center of the SCM’s digital transformation strategy to allow SCM to take advantage of big data.
  • Support the leveraging of AI-based technologies to tap into the potential of big data.

Benefits

  • reskilling our people
  • leveraging transferable skills
  • supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology
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