Key Responsibilities:

• Lead cross-functional analytics initiatives from planning to delivery, aligning scope, timelines, and priorities with stakeholders.
• Translate business requirements into actionable data and analytics solutions across domains.
• Provide hands-on support and architectural guidance across data pipelines (ETL/ELT), model development, and reporting solutions.
• Collaborate with data engineers to design data models and efficient dataflows in Snowflake and Dataiku.
• Partner with analysts and data scientists to drive insight generation, ML model deployment, and automation use cases.
• Collaborate with governance stakeholders to enforce data stewardship, lineage, and cataloging using Collibra.
• Establish data quality frameworks and documentation standards across the data lifecycle.
• Oversee the development and maintenance of Power BI dashboards that provide actionable insights to business leaders.

Essential Requirements:

• 5+ years of experience in data & analytics.
• Proven ability to manage complex data projects across multiple domains and stakeholders.
• Hands-on experience with platforms like AWS, Snowflake, Collibra, Dataiku, and PowerBI, and proficiency in Python and SQL.
• Strong understanding of data engineering, ML lifecycle, governance principles, and dashboard best practices.
• Excellent interpersonal, organizational, and communication skills.

Desirable Requirements:

• Technical background (Software Engineering, Computer Science, Information Systems).
• Prior experience working in a relevant industry or consulting environment.