The Role
Serve on client project teams across all phases: gather requirements, design data models, develop with SQL (and occasional Python), build dashboards in Tableau/Power BI/Looker, implement data warehouses (Snowflake, Databricks, Redshift, etc.), run stakeholder workshops, manage risks, and mentor colleagues while supporting business-focused data decision-making.
Summary Generated by Built In
Who We Are
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.
Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in 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 consultant who can successfully work with client projects, teams, and stakeholders.
What You'll Do
- Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment
- Perform 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
- Be the expert in various client meetings such as stakeholder interviews & workshops
- Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
- Proactively identify risks, issues and provide mitigation strategies
- Build and maintain strong client relationships
- Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
- Eagerness to participate in a best-in-class data practice
- 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment
- Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions
- 5+ years in a consulting role or a data-focused role and strong 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, PowerBI, Looker, etc.
Preferred Additional Experience
- 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
- Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics 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
- 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment
- 5+ years in a consulting role or a data-focused role
- Strong experience with SQL in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
- Experience designing and building relational databases and/or data warehouses
- Hands-on experience with business-driven/self-service BI tools (Tableau, Power BI, Looker or similar)
- Experience with client-facing activities: requirements gathering, meeting facilitation, presentations, and deliverable review/approval
- Coding in SQL and occasional Python for data development tasks
- 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 (AWS or other vendors)
- Ability to automate data-related tasks using scripts and programming languages
- Ability to profile, explore, and analyze data to identify patterns
- Ability to present data solutions to business stakeholders with clear business acumen
- Bachelor's degree in engineering, information systems, computer science, business administration, or related analytics field
- Familiarity with dbt
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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.
