Qvest is seeking an experienced Manager specialized in Data & Analytics to support our enterprise data architecture. In this role, you will ensure seamlessly integrated, high-quality data across systems and business units. We are looking for a hands-on technical data consultant who can successfully work across projects, teams, and stakeholders.
What You'll Do
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
Lead the design, deployment, and continuous optimization of end-to-end data pipelines and analytical environments using BigQuery, Cloud Dataflow, Pub/Sub, and Looker
Lead projects & teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment
Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
Ensure user satisfaction through consistent support and high-quality project execution
Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
Proactively identify risks, issues and provide mitigation strategies
Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
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 Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc
Eagerness to help build & lead in a best-in-class data practice
Experience designing and building relational database and/or data warehouses
A Bachelor's degree in Mathematics, Computer Science, Engineering, or related field
Preferred Skills
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 automate data-related tasks using scripts and programming languages
Ability to profile, explore, and analyze data to identify common data patterns
Ability to present data solutions to business stakeholders with clear business acumen
Familiarity with dbt (https://getdbt.com)
Travel Requirements
Skills Required
- 5+ years of project management, process, implementation, system integration, and SDLC experience in an Agile environment
- 7+ years of consulting or data-focused experience
- Expert-level SQL experience with platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, or Microsoft SQL Server
- Hands-on experience with business-driven or self-service business intelligence tools such as Tableau, Power BI, or Looker
- Experience designing and building relational databases or data warehouses
- Bachelor’s degree in Mathematics, Computer Science, Engineering, or a related field
- Experience in Media and Entertainment or Consumer Products industries
- Experience at a large consulting firm
- Cloud computing experience, including AWS or other cloud vendors
- Ability to automate data-related tasks using scripts and programming languages
- Ability to profile, explore, and analyze data patterns
- Ability to present data solutions to business stakeholders with business acumen
- Familiarity with dbt
What We Do
Qvest US is a global leader in technology and business consulting, specifically for the Media & Entertainment and Consumer Packaged Goods & Retail industries. The company provides end-to-end services, strategizing, advising, designing, and implementing future-forward business and technology solutions. They specialize in digital media supply chain, data and analytics, IP and rights management, and applied AI to help Fortune 1,000 companies revolutionize their markets.









