Mathematics, Statistics & Information Sciences (Science & Technology)Government - State (Government & Defence)Full timeWater is essential for life.
At Seqwater, we're not just delivering water—we're driving innovation, growth and transformation to secure the future of water across South East Queensland.As one of the largest water businesses with the most geographically spread and diverse asset base of any capital city in Australia, our operations extend from the New South Wales border to the base of the Toowoomba ranges and north to Gympie.As we enter an exciting period of expansion, we're embracing new technologies and sustainable practices to meet the growing needs of our region.
We work collaboratively across our organisation and with our stakeholders, constantly striving to enhance the quality of service we provide.
As we modernise our systems and invest in smarter water grids, we remain focused on delivering the highest standard of service, always with the future in mind.Our transformation is about more than just infrastructure—it's about people.
Our team of dedicated professionals are united by a shared passion for creating lasting, meaningful outcomes for the communities we serve, and this is reflected in Our Vision, Water for Life, Our Promise - Safe for Life, and Our Values of integrity, respect, care, and courage that shape everything we do.If you want to be part of an organisation that's shaping the future of water management, now is the time to join Seqwater.
Join us as we embark on a multi-year program to improve operational reliability and build operational excellence in the services we deliver.About Your OpportunityReporting to our Senior Data Process Improvement Analyst, you will turn complex data into actionable insights, empowering us to make evidence-based decisions that enhance our operations and benefit our customers and communities in Southeast Queensland.Key responsibilities:Utilise advanced statistical and machine learning techniques to analyse large datasets related to water utility operations.Develop and implement predictive and prescriptive models to optimise various aspects of the utility's operations.Identify key data trends and patterns to drive business insights and inform decision-making.Integrate data from various sources, including PI Historian, SQL databases, to generate intelligent insights for operations.Extract, transform, and load large complex historical operations data sets to a data warehouse.About youTo be successful in this role, you will possess:Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics).Strong demonstrated experience in data science and analytics roles, with a track record of successfully applying data-driven solutions.Strong knowledge of data modelling techniques, statistical analysis, and machine learning algorithms.Experience with PI Historian, Labware, WISKI or Power BI is a significant advantage.This position has a salary range of $104,668.84 - $115,102.18 plus 12.75% superannuation and is a temporary opportunity until 30th November 2025.Appointment to this role is subject to the provision of a national police check and may be subject to other medical/character requirements.
Please note that people with criminal records are not automatically deemed ineligible.
Each application will be considered on its merits.To applySubmit your cover letter outlining how you meet the requirements of the role and your resume via the Apply button.Please note – applications cannot be accepted via email.#J-18808-Ljbffr