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Founded in Australia in 1945, CHEP is a leading provider of pallet and container pooling services for the Aerospace, Automotive, Chemical, Consumer Goods, Fresh Food and Manufacturing industries.
CHEP provides equipment pooling which is the shared use of high quality standard pallets and containers by multiple customers.
Pooling is a strateg...
Job Description
Position Purpose
Design and develop complex software applications and algorithms to build innovative solutions that increase supply chain efficiencies and provide value to Brambles and Brambles’ customers
Measures
Research and build software solutions with high quality and good performance
Develop solutions that can support data from different sources on a very large scale to monitor anc control supply chains
Extensible and modular design
Major/Key Accountabilities
- Develop solutions to process massive datasets, ingested from IoT devices and computer vision systems and put them in the context of enterprise transactions and master data
- Collaborate with the data science team to come up with new and innovative algorithms
- Research and evaluate various algorithm options
- Develop and maintain components for storage, processing, and/or user interfaces for transactional and analytical supply chain applications
- Build integration with various other enterprise applications/systems such as ERP and Supply Chain Planning systems, or other cloud applications etc.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Physics, Maths, or similar*, equivalent work experience**
- Strong programming skills in Python or Go (or other comparable languages)
- Experience with large-scale data processing systems, preferably Spark
- Good understanding of databases and other storage systems
- Experience building microservices or serverless applications
Notes:
Additional or higher education degrees a plus
We consider candidates without traditional software engineering related degrees: if you have programmed to do work/research projects please consider applying
Desirable Qualifications
- Algorithm development and algorithm scaling
- Experience working in development and/or support of life enterprise software
- Knowledge of supply chain management
- Experience developing and scaling Spark-based data processing algorithms
- Experience with event-driven data processing architectures
- General experience with distributed and scalable systems
- Familiarity with UI development and Web development frameworks such as Angular
- Development and deployment of container-based applications on Kubernetes’
- Development experience with public cloud platforms, preferably AWS
Experience
We’re looking for beginners with proven experience through school and research or private projects, as well as early-career developers with 1-3 years of experience
Skills and Knowledge
- Developed application components and participated in end-to-end application development projects
- Programming languages: Python, Scala, Go (or other languages and a willingness to learn)
- AWS Services
Preferred Education
Bachelors
Preferred Level of Work Experience
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JOB DESCRIPTION
The Data Analyst will help the business use Data to understand the supply chain lifecycle. You will make a tangible impact on our internal and external customers by building data-driven solutions and providing high impact analytical insights and recommendations. You will be a trusted advisor and empowered to put Customer at the heart of decision making, and an ambassador for Data Analytics across Digital and the wider Data Analytics Community
KEY ACCOUNTABILITIES
- Utilise your inquisitive mindset, analytical skills & ask the right questions to understand complex business challenges
- Develop and implement analytics aligned with the business needs and in accordance with best practices
- Use Statistical experience and Business knowledge to solve complex business challenges
- Interrogate, manipulate and analyse complex, high-volume, high-dimensionality data from varying sources using a variety of tools and analytical techniques
- Build engaging and interactive visualisations using state of the art methods
- Provide and concisely communicate high quality deep dive analysis with clear recommendations and actionable insight
- Collaboratively work within a squad to deliver solutions by defining and designing Data Analytics tasks (for example, data requirements, output, success criteria, timescales)
- Provide guidance on KPIs and best practice in reporting and analytical problem solving
- Embed data analytics in Product solutions
SKILLS
- Experience in turning data into insight and recommendations for action.
- Working across structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets
- Experience in clearly communicating (verbal and written) Insight to technical and non-technical Stakeholders
- 3+ years of Data Analytics experience
- SQL
- BI tools such as QlikView, Tableau, or Power BI
- Understanding of Python or transferrable coding languages