Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives, develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data, collaborate with key stakeholders to define KPI and build data metrics to measure KPIs, partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues, explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
Requirements
- Data modelling experience in Enterprise Data Warehouse,DataMart and ETL tools likeIICS, Snowflake(Snowtasks)
- Hands-on experience in SQL, XML, SSL, RESTful APIs, and other related standards.
- Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production.
- Prefer having working knowledge in any reporting tools like PBI (DAX, security, model creation), Tableau .
- Experience with various data systems like Oracle Data Warehouse, Snowflake.
- Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
- Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
Responsibilities
- Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
- Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
- Collaborate with key stakeholders to define KPI and build data metrics to measure KPIs
- Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues
- Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
- Data modelling experience in Enterprise Data Warehouse,DataMart and ETL tools likeIICS, Snowflake(Snowtasks)
- Hands-on experience in SQL, XML, SSL, RESTful APIs, and other related standards.
Other
- Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
- Collaborate with key stakeholders to define KPI and build data metrics to measure KPIs
- Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues
- Strong written and verbal communication skills
- Excellent problem solving and troubleshooting skills
