
Business Intelligence Specialist
5 days ago
As a business intelligence specialist, you will play a pivotal role in driving business growth through data-driven solutions. Your primary responsibility will be to source, clean, and prepare large-scale datasets for analytics and operational use.
- Sources, cleans, and prepares large-scale datasets for analytics and operational use.
- Develops productivity tools using Python and R scripts to streamline workflows and enhance the effective use of available models.
- Applies statistical and analytical techniques to extract insights and support decision-making.
- Built and deploys data-driven solutions using cloud-native technologies, leveraging asynchronous inference and batch transform pipelines.
- Collaborates with stakeholders to understand business priorities and translates them into actionable strategies.
- Creates clear and compelling visualisations and presentations for technical and non-technical audiences.
- Ensures responsible use of AI technologies by adhering to governance and ethical standards.
- Contributes to CI/CD pipelines for solution deployment and monitoring.
Proficiency in Python, R, SQL, and experience with Spark or Snowflake is required. Additionally, hands-on experience with cloud services such as Sagemaker, Glue, EMR, S3, Redshift, and DocumentDB is necessary. Familiarity with MLOPs practices and model lifecycle management is also essential.
- Hands-on experience with cloud services: Sagemaker, Glue, EMR, S3, Redshift, DocumentDB.
- Proficiency in Python, R, SQL, and experience with Spark or Snowflake.
- Familiarity with MLOPs practices and model lifecycle management.
- Strong understanding of data engineering principles and cloud architecture.
This position offers the opportunity to work with diverse datasets, build scalable tools, and deploy solutions using cloud-native technologies. As a business intelligence specialist, you will be instrumental in solving real-world business problems and driving business growth through data-driven solutions.
- This position offers the opportunity to work with diverse datasets, build scalable tools, and deploy solutions using cloud-native technologies.
- Exposure to various industries including banking and financial services, and gain exposure to financial crime and transaction monitoring use cases.
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