Quick overview
Job description
Who We're Seeking
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
- 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
- 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
- Experience working in Snowflake
- Experience with building Knowledge Graphs, preferably in AWS
- Experience implementing systems, tools, or features powered by AI/ML/Applied AI
- Experience with project planning, including tasks, budgeting, resource allocation and balancing
- 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
- 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 ()
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