Statistical Forecast Analyst at ALDI Stores

Minchinbury, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

163500.0

Posted On

01 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical analysis, Data analysis, Python, SQL, R, Machine learning, Forecasting, Supply chain management, Data visualization, Power BI, Optimization methods, Demand planning, SAP, Data science lifecycle, Automation

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? Extract and analyse large data sets to identify key insights that drive business decisions across ALDI's supply chain. 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. 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 Demonstrated data analysis experience with statistical analysis techniques using relevant software (e.g., R, Python, SQL). Knowledge in statistics, machine learning, and optimisation methods for experimentation and operational decision-making. 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. 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. Ready to embark on a good different career? To learn more about what it is like to work at ALDI visit our careers website www.aldicareers.com.au

Responsibilities

The analyst will extract and analyze large datasets to drive supply chain replenishment decisions and improve forecasting accuracy. They will also build, test, and deploy machine learning models while creating dashboards to visualize key business insights.