Who We Are
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
Who We're Seeking
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.
Travel Requirements
Employees may be required to travel occasionally when required by project scope or management directive.
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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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
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Lead the design, deployment, and continuous optimization of end-to-end data pipelines and analytical environments using BigQuery, Cloud Dataflow, Pub/Sub, and Looker
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Lead projects & teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment
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Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
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Ensure user satisfaction through consistent support and high-quality project execution
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Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
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Proactively identify risks, issues and provide mitigation strategies
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Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
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5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
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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
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Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc
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Eagerness to help build & lead in a best-in-class data practice
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Experience designing and building relational database and/or data warehouses
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A Bachelor's degree in Mathematics, Computer Science, Engineering, or related field
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Experience in Media & Entertainment and/or Consumer Products industries
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Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
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Cloud computing experience, whether with AWS or other vendors
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Ability to automate data-related tasks using scripts and programming languages
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Ability to profile, explore, and analyze data to identify common data patterns
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Ability to present data solutions to business stakeholders with clear business acumen
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Familiarity with dbt ( https://getdbt.com )