Asset & Wealth Management, Business Analytics, Associate - New York
Tasks
- Architect data infrastructure
- Build data pipelines
- Collaborate with solution experts share reusable code
- Design data vault models
- Design dimensional data models
- Develop ETL/ELT frameworks
- Develop automated reporting dashboards
- Ensure data quality, lineage, governance
- Gather analytics requirements from stakeholders
- Generate business performance metrics
- Improve business efficiency and data reliability
- Integrate large datasets
- Load curated data into warehouses
- Mentor team members conduct code reviews
- Operationalize data for machine learning models
- Present performance analysis and strategy
- Reduce infrastructure cost effectiveness
- Track project progress manage risks dependencies
- Transform cleanse normalize data
- Translate business problems into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alteryx | Amazon SageMaker | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cloud Data | Cloud Data Platforms | Cloud Storage | CloudFormation | Data Cataloging | Data Engineering | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Pipelines | Data Quality | Data Vault | Data Warehousing | Data platforms | Dataflow | Dimensional Modeling | ELT | ETL | Feature Engineering | GCP | Git | Glue | Infrastructure as Code | Java | Lambda | MLflow | Machine Learning | Metadata Management | Model Serving | Power BI | PyTorch | Python | Redshift | Relational databases | S3 | SQL | Scala | Snowflake Schema | Star Schema | Synapse Analytics | Tableau | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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