Practice Lead, Data & Analytics

Qvest US•Los Angeles, CA

50d•Hybrid

About The Position

Qvest US is seeking an experienced Data & Analytics practitioner to lead our US Data & Analytics practice. You will be responsible for leading the D&A practice including technical direction, business development, team development and project delivery. This includes leading interactions with customers and channel partners, as well as internal stakeholders to promote the Qvest D&A practice and actively participate in the growth of Qvest. The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to communicate strategy, offerings, and innovation within the practice, identifying opportunities for new and existing services and solutions that can be offered to clients. The role will also be responsible for working closely with clients in identifying their business needs and providing technical solutions. You will provide operational management on a regular basis to ensure that the business is set up to successfully impact Qvest revenue, retention, growth, and customer satisfaction.

Requirements

3+ yearsâ experience in professional services and pre-sales as a data architect
10+ years in a consulting or a data-focused role, and expert-level experience with SQL in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, Synapse, Fabric, or similar
Strong theoretical and practical knowledge of necessary tools for analytics on cloud computing platforms such as AWS, Azure, or GCP. E.g. S3, Athena, IAM, networking configuration and management, etc.
Significant hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, or similar
Significant experience designing and building relational database and/or data warehouses, and with managing and troubleshooting complex analytics solutions
Passion for and proven experience with consulting business development
Eagerness to help build and lead a best-in-class Data & Analytics Practice
10+ 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
A track record of highly impactful work at prior companies, including both as a manager, a manager of managers, and as an individual contributor
Bachelorâs degree in engineering, information systems, computer science, business administration, or other related analytical fields

Nice To Haves

Media & Entertainment or adjacent industry experience
An understanding of current key AI trends and the AI landscape as it relates to Data & Analytics
Knowledge of industry best practices in data and analytics
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 common data patterns
Familiarity with established and emerging data technologies