Data Migration Specialist
Podium
Operations
Guatemala City, Guatemala
At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
About Podium
Podium is an AI-powered lead conversion platform that helps local businesses turn more leads into customers through messaging, payments, and AI agents. We partner with tens of thousands of small and medium-sized businesses across North America, and every customer’s success starts with getting their data into Podium accurately and efficiently.
About the Role: 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.
What You’ll Do
- 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
What You’ll Bring
Required
- 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
Compensation & Benefits
- Competitive salary starting from Q9,000.00
- Full benefits package (health coverage, Legal benefits, free parking)
- Office in Guatemala City with a collaborative team
- Onsite role in Zone 10, Edificio Interaméricas
- Monday–Friday schedule
Why This Role Matters
A poor data migration can lose a customer on day one—while a great one builds trust immediately. In this role, you’ll directly shape that first impression, with the tools, autonomy, and support to deliver it at a high level.