About Ampol Trading & Shipping
Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.
We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.
About the role
As a Data Application Specialist at Ampol, you will be responsible for service managing including contributing to data modelling, repository maintenance, supporting, and liaising with multiple Vendors, data providers, tool providers, to maintaining web application tool and analytics solutions using Dataiku and Python. You will work closely with our data scientists, analysts, and cross-functional teams to turn data into actionable insights, enabling our organization to make informed decisions.
Key responsibilities
• Dataiku Application Support: Support and manage requirements of the change requests and upkeep & maintenance of data models.
• Python Programming: Understanding Python code for data processing, analysis, and modelling.
• Project Management: Define and Manage Vendor deliverables as required, in co-ordination with and supporting the Product Manager/Project Manager
• Data Exploration and Analysis: Conduct exploratory data analysis to define and support data models, working with data analysts and data scientists.
• Model Development: Collaborate with data scientists to build, train, and deploy data models.
• Documentation: Maintain comprehensive documentation of data pipelines, code, and processes for reference and auditing purposes.
• Performance Optimization: Identify and address performance bottlenecks in data modelling, ensuring optimal processing times.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet business objectives.
Skills & experience
• Bachelor’s degree in Computer science, Data Science, or a related field (Master's preferred).
• Proven experience as a Data Analytics model development or support, with a strong portfolio of projects.
• Familiarity in Dataiku DSS, Python, and relevant libraries (e.g., Bokeh, Dash, Shiny, Pandas, NumPy).
• Experience with data warehousing, ETL processes, visualization tool (e.g., Tableau, Power BI) and SQL is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Self-motivated with the ability to work independently and meet deadlines
