The Role
Lead data-focused consulting projects end-to-end: manage stakeholders and teams, translate business problems into data solutions, perform hands-on SQL (and occasional Python) development, design data models and warehouses, build BI visualizations, run workshops, mitigate risks, and contribute to practice growth and mentorship.
Summary Generated by Built In
Who We Are
Who We're Seeking Remote & Hybrid Work Life at Qvest Equal Employment Opportunity
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.
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll 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 You'll Bring
- 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
- Experience with project planning, including tasks, budgeting, resource allocation and balancing
- 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
- 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
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.
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.
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."
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.
Skills Required
- 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 data-focused role
- Expert-level experience with SQL (Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar)
- Hands-on development experience coding in SQL and occasionally Python
- Experience designing and building relational databases and/or data warehouses
- Hands-on experience with self-service BI tools (Tableau, Power BI, Looker or similar)
- Experience with project planning including tasks, budgeting, resource allocation and balancing
- Strong stakeholder management, communication skills, and ability to facilitate workshops and executive-level meetings
- Bachelor's degree in engineering, information systems, computer science, business administration, or related analytical field
- Familiarity with dbt
- Cloud computing experience (AWS or other vendors)
- Experience in Media & Entertainment and/or Consumer Products industries
- Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
- Ability to automate data-related tasks using scripts and programming languages
- Ability to profile, explore, and analyze data to identify data patterns
- Understanding of key BI trends and the BI vendor landscape
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The Company
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.
