Data migration analyst / data migration specialist

seeking a detail-oriented Data Analyst Migration Specialist to lead end-to-end data center application and cloud migration initiatives. In this role you will design and execute ETL pipelines, conduct post-migration validation and ensure absolute data integrity across large-scale systems. You will leverage SQL, Python, Power BI and modern AI-assisted tools to automate validation workflows, clean complex datasets and collaborate across technical and business teams.

Key Responsibilities

• Data Migration & ETL Execution: Lead end-to-end migration processes including data extraction, transformation, loading (ETL), cleansing and post cutover quality assurance.
• Validation & QA: Perform data reconciliation, source-to-target validation and post-migration audits using SQL and Python to remediate discrepancies and ensure complete data integrity.
• Process Automation: Utilize AI-assisted analytics and migration tools alongside Python, pandas, NumPy to automate repetitive validation tasks, accelerating overall project timelines.
• BI & Reporting: Design and maintain Power BI dashboards utilizing DAX and structured data models to track migration KPIs, data quality metrics and operational performance.
• Cross-Functional Collaboration: Serve as a bridge between technical migration teams and business operators, translating business rules into clear migration and data requirements.

Required Qualifications

• Education: Masters degree in Information Science, Data Analytics or a related field or equivalent practical experience.
• Migration Expertise: Hands-on experience with database application migrations, data center support and ETL pipeline development.
• Technical Proficiency: Languages/DBs: Advanced SQL, Python, pandas, NumPy, PostgreSQL; BI Tools: Power BI, DAX, Microsoft Excel, GitHub, VS Code; Modern Workflows: Experience using AI-assisted development, prompt engineering and automated validation tools.
• Analytical Skills: Strong ability to perform Exploratory Data Analysis (EDA), root-cause analysis on data discrepancies and KPI tracking.

Preferred Qualifications

• Google Data Analytics Professional Certificate or relevant industry certifications.
• Background in retail or enterprise-scale pricing operational data analysis.
• Understanding of cloud architecture and server management environment.