Supply Chain Analyst (Forecasting & Data Analytics) at ALDI Stores

Minchinbury, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

163500.0

Posted On

01 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, SQL, R, Power BI, Data Analysis, Forecasting, Demand Planning, SAP Forecasting, Statistical Analysis, Data Visualization, Data Science Lifecycle

Industry

Description

Company Description With roots dating back to 1913, ALDI is proud to make a real difference to people across the world by offering top quality products for low prices. ALDI first entered the Australian grocery market in 2001 and has since grown to have almost 600 stores and 8 distribution centres in 5 states. If you’ve ever shopped at ALDI you know we are not your average supermarket. We’re also not your average employer. ALDI is a place where you’ll find good people, good purpose and great opportunities. So, you can work with a great team, feel great for making a real difference for everyday Australians and enjoy a rewarding career. It’s that simple. ALDI Good Different. Job Description We are seeking a strategic Analyst to join our Forecasting and Data Analytics team and be a driving force in improving our execution of replenishment through data driven decisions. This role is a permanent full-time position, based in Minchinbury. Join a team that values your contribution and provides opportunities for continuous learning to develop into a supply chain expert. You will embrace a growth mindset, eager to shape the future of supply chain excellence by elevating the replenishment process and directly contribute to ALDI's strategic goals. What does the role look like? Develop data driven solutions to complex challenges and enhancing forecasting accuracy. Build, test, and deploy machine learning models using Python, SQL and R to solve problems in forecasting, operations, and automation. Extract and analyse large data sets to identify key insights that drive business decisions across ALDI's supply chain. Visualise data by creating and maintaining meaningful reports and dashboards using Power Bi. Consolidate multiple data sources and analysing patterns, trends, anomalies, and root causes. Identify opportunities for improvement within the entire supply chain and providing actionable insights. And the best part? Every single day at ALDI, you'll know you're making a difference, supporting our mission to help everyday Australians live richer lives for less. Qualifications Proven experience in building machine learning models for statistics and optimisation methods to support operational decision-making. Demonstrated data analysis experience with statistical analysis techniques using relevant software (e.g., R, Python, SQL). Ability to leverage data-driven insights to inform and drive strategic decision-making within a dynamic business environment. Experience in forecasting/demand planning within an FMCG environment highly regarded. Experience in SAP forecasting modules and data visualisation tools is an advantage. Experience in the data science lifecycle, including development and deployment highly regarded. Degree in Data Science and/or Statistics, Mathematics or Engineering. Additional Information Enjoy 5 weeks annual leave for pursuing your passions outside of work. Enjoy the flexibility of hybrid work options. Support during life’s most important moments including paid parental leave, including superannuation on parental leave. Complimentary access to free physiotherapy to treat non-work related aches, pains or niggles. Work with a company who has been recognised as an Employer of Choice every year since 2018 - 2024. Boost your wellbeing with the MyALDI wellbeing program with discounted access to Fitness Passport and health insurance. Remuneration Transparent tiered salary range of $143,400 - $163,500 including Superannuation. At ALDI, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from people of all backgrounds, experiences, abilities, and identities. To learn more, please visit www.aldicareers.com.au

Responsibilities

Develop data-driven solutions and machine learning models to improve forecasting accuracy and replenishment execution. Extract and analyze large datasets to provide actionable insights and create dashboards for supply chain optimization.