Job Details

ID #53888925
Estado South Carolina
Ciudad Minchinbury
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente ALDI Stores
Showed 2025-05-12
Fecha 2025-05-12
Fecha tope 2025-07-11
Categoría Etcétera
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Data Engineer

South Carolina, Minchinbury 00000 Minchinbury USA
Aplica ya

An exciting opportunity for an Analyst has become available within our National Data Analytics department of ALDI stores, based in Minchinbury. This is a permanent full-time position. This pivotal role will see you immersing yourself in the captivating world of data at ALDI, a place where every number tells a story. As a part of our Data Analytics team, you'll be instrumental in using data-driven methods to transform vast amounts of raw data into valuable insights that guide our decision-making.From machine learning to statistical modelling, you'll employ advanced techniques to dissect and understand complex data sets. And it's not just about analysis - it's about communication too. Through data visualisation, you'll transform intricate data into a form that's easily understandable, enabling informed decision-making across various sectors of our business.Our pursuit of data-driven insights is about more than just numbers. It's about ensuring our business practices align with the needs and wants of our customers. Whether it's optimising our supply chain or enhancing our product offerings, your work will have a direct impact on the people who matter most - our customers.What does the role look like?Design and implement efficient data pipelines and architectures using SQL, Spark, and Python to support analytics and data initiativesCollaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions that meet business objectivesOptimise data workflows and processes for performance and scalability, ensuring timely access to data for stakeholdersConduct data analysis and troubleshooting to identify and resolve issues within data processing frameworksImplementing automated measures to ensure data quality issues/errors in ETL are automatically prevented/detected and correctedAdvise and mentor team members on data standards, best practices, and promote a culture of reuse and stability

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