Senior Consultant - Data & Analytics

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.

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

Design, deploy, and continuously optimize end-to-end data pipelines and analytical environments using BigQuery, Cloud Dataflow, Pub/Sub, and Looker

Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment

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

Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement

Eagerness to participate in a best-in-class data practice

Hands-on experience building, managing, and optimizing enterprise data solutions using BigQuery, Google Cloud Pub/Sub, Dataflow, and Looker

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.

A Bachelor's degree in Mathematics, Computer Science, Engineering, or related field

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 )

Additional information

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."

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.