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)