Business Analyst – Data Platform (Remote, USD) (Data Platform Initiative)
Why Join Us
- Competitive salary in USD
- 100% remote work (LATAM)
- Opportunity to work on international projects
- Fast-paced, collaborative, and high-impact environment
About the Role
We are looking for a Business Analyst to join a high-impact international project focused on building a large-scale data platform. You will work closely with multiple squads (Data Transformation, Cost Basis Calculation, UI/API) to gather requirements, define workflows, and ensure alignment between business and technical teams.
This is a client-facing, consultative role that requires strong analytical skills, clear communication, and the ability to translate complex business rules into actionable technical requirements.
Responsibilities
- Collaborate with stakeholders to gather, analyze, and document requirements
- Define functional specifications, user stories, and acceptance criteria
- Support engineering teams in understanding business logic for data pipelines and calculations
- Ensure alignment between business goals and technical solutions
- Participate in solution design discussions and provide input on process improvements
- Assist in testing, validation, and UAT to ensure deliverables meet business requirements
- Maintain clear and up-to-date documentation for internal and client use
Qualifications
- 5+ years of experience as a Business Analyst, preferably in data-intensive or financial projects
- Strong analytical skills and attention to detail
- Experience with data modeling, SQL, or ETL concepts is a plus
- Ability to communicate complex concepts clearly to technical and non-technical stakeholders
- Strong organizational and documentation skills
- Excellent communication skills and advanced English (B2+/C1)
- Experience working in collaborative, distributed teams
Preferred Qualifications
- Experience in consulting environments
- Background in financial systems, taxation, or large-scale data platforms
- Familiarity with Agile/Scrum methodologies
- Knowledge of workflow and data pipeline tools (Airflow, Databricks, Snowflake, etc.)