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Manager - Data & Analytics

at Qvest Us

New York, NY; Los Angeles, CA, mid, 7+ years

posted 22 Aug 2017

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  • 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

Read from jobs.lever.co, last seen 5d ago.

Preferred Additional Experience - A solid understanding of key BI trends and the BI vendor landscape

- Experience in Media & Entertainment and/or Consumer Products industries

- Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)

- Cloud computing experience, whether with AWS or other vendors

- Ability to understand/design small-to-medium size data architectures

- Ability to automate data-related tasks using scripts and programming languages

- Ability to profile, explore, and analyze data to identify common data patterns

- Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

- Familiarity with dbt (https://getdbt.com)

Travel Requirements Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.    Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.