Data Analyst (DT)

Key Skills

AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Design, DevOps, DynamoDB, Effective communication skills, Google Cloud Platform (GCP), MongoDB, Optimization, PySpark, PyTorch, Scikit-learn, TensorFlow

Job Description

Qualifications

Educational

• Background in SQL, databases and/or data science OR​
• BS/MS in software engineering, computer science, mathematics

Responsibility

• Document data sources in enterprise data catalog with metadata, lineage and classification information​
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity​
• Implement minor changes to existing data visualization applications, reporting dashboards​
• Document modifications to reporting applications based on modifications applied.​
• Comprehend and adhere to all data security policies and procedures​
• Create data tools for analytics and data scientist team members ​
• Build analytical tools to provide actionable insights into key business KPIs, etc​
• Work with data engineers to optimize pipelines for scalability and data delivery

Functional Competency

• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc​
• Experience with data tools for visualizations, analytics and reporting​
• Strong analytical skills with ability to research, assess and develop observations/findings​
• Ability to communicate findings, approaches to cross functional teams and stakeholders.
• 3+ years' hands-on experience with a data science background​
• Some programming skills in Java, Python and SQL​
• Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)