Manager - Data & Analytics
at Qvest Us
New York, NY; Los Angeles, CA, mid, 7+ years
posted 22 Aug 2017
- BigQuery
- Power BI
- AI
- Tableau
- Looker
- Teradata
- Redshift
- SQL
- Applied AI
- Knowledge Graphs
- Snowflake
- dbt
- MS SQL Server
- Databricks
- AWS
- Python
- ML
About the role
Posted: 2017-08-22
What you would do
- Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
- Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
- Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
- Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
- Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
- Proactively identify risks, issues and provide mitigation strategies
- Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What they are looking for
- Eagerness to help build and lead a best-in-class data practice
- 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
- 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
- Experience working in Snowflake
- Experience with building Knowledge Graphs, preferably in AWS
- Experience implementing systems, tools, or features powered by AI/ML/Applied AI
- Experience with project planning, including tasks, budgeting, resource allocation and balancing
- Experience designing and building relational database and/or data warehouses
- Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc
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