Data Analyst

Key Responsibilities

• Discover and inventory all on-premise data consumers, including reports, downstream applications, BI pipelines, and business teams.
• Map end-to-end data lineage from source systems through transformations to consumption points.
• Validate actual data usage patterns to distinguish active dependencies from obsolete ones, informing migration and decommissioning decisions.
• Analyze query and access logs to quantify usage frequency, criticality, and performance requirements.
• Coordinate across technical and business teams to confirm requirements, resolve ambiguities, and prioritize migration waves.
• Document findings in clear, actionable artifacts (dependency maps, consumer catalogs, risk registers) for engineering and stakeholder teams.
• Automate discovery and analysis workflows to accelerate the mapping process and improve accuracy.
• Support migration planning by flagging risks, gaps, and impact areas before cutover.

Required Qualifications

• Proven experience with data lakes, data warehouses, and complex data migration projects.
• Strong understanding of both RDBMS and NoSQL databases, with advanced SQL querying skills.
• Hands-on proficiency in at least one object-oriented programming language (Python preferred).
• Practical cloud platform experience, with an emphasis on Amazon S3.
• Demonstrated hands-on automation experience (scripting, pipelines, or tooling).
• Exceptional communication, problem-solving attitude, and analytical aptitude to interface effectively with diverse technical and business stakeholders.

Preferred Qualifications (Pluses)

• Experience building or leveraging AI agents for workflow automation.
• Active AWS certifications (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect).
• Hands-on experience with Business Intelligence tools (e.g., Power BI, Tableau).