Data Migration Specialist

As a Data Migration Specialist, you will ensure new Podium customers start with clean, accurate, and well-structured data from day one. You’ll work closely with Onboarding Managers and Customer Success Managers to extract, clean, transform, and import data from legacy systems into Podium. This is a hands-on, technical role where you’ll work with Python, spreadsheets, and AI tools to streamline processes and solve complex data challenges. You’ll also play a key role in resolving high-priority customer data issues quickly and effectively.

Responsibilities

Own end-to-end data migrations: Extract data from third-party systems (CSV, APIs, database exports), clean and normalize it, and upload into Podium; Automate and scale: Use Python (pandas) and advanced Excel/Google Sheets to transform and validate large datasets; Leverage AI tools: Use tools like ChatGPT, Claude, and internal AI systems to accelerate data cleaning and validation; Improve processes: Identify patterns and propose improvements to make migrations faster and more accurate; Collaborate cross-functionally: Work with Onboarding and CSM teams to define requirements and ensure data accuracy; Handle escalations: Troubleshoot and resolve post-launch data issues with urgency and clear communication

Requirements

1–2 years of experience in a data or technical role (Data Analyst, RevOps, BI, Technical Onboarding, etc.); Strong Python skills (pandas preferred) for data cleaning and transformation; Advanced Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, complex formulas); Experience using AI tools to improve workflows; Strong attention to detail and data accuracy; Excellent English communication skills (written and verbal); Ability to work in ambiguous and fast-changing environments

Nice to have

SQL experience; Experience working with REST APIs; SaaS onboarding, implementation, or technical support experience; Familiarity with CRM or business data models

Benefits

health coverage; Legal benefits; free parking; collaborative team; Monday–Friday schedule