Analyst, Intelligence & Data Solutions (ids), Data Science

Visa Visa · Fintech · Bogota, Colombia, CO

This role focuses on developing and deploying scalable data and analytics solutions, with a strong emphasis on leveraging Generative AI tools and agent-based workflows to automate tasks, accelerate development, and improve productivity within a financial services context. The candidate will translate business problems into analytical approaches, work with large datasets, and communicate insights to stakeholders.

What you'd actually do

  1. Develop and deploy scalable data and analytics solutions that leverage large datasets and advanced analytical techniques.
  2. Translate business problems into analytical approaches and implement efficient, data-driven solutions.
  3. Query, process, and analyze large datasets from distributed environments (e.g., Python, SQL, PySpark).
  4. Design and build analytical assets (datasets, pipelines, models, reports) that support business decision-making.
  5. Leverage Generative AI tools (e.g., copilots, code assistants, LLM-based tools, GPT, Claude, Perplexity, …) to accelerate development and improve productivity.

Skills

Required

  • Python
  • SQL
  • PySpark
  • Generative AI tools
  • Agent-based workflows

Nice to have

  • Hadoop
  • cloud data platforms
  • LLM-based applications (prompting, RAG, copilots, automation tools)
  • payments, banking, or financial services
  • building reusable analytical assets or scalable solutions
  • English fluency
  • Spanish fluency

What the JD emphasized

  • Hands-on experience using Generative AI tools in day-to-day work (evidence required — projects, workflows, or use cases).
  • Experience designing or applying agent-based workflows or AI-driven automation.

Other signals

  • Leverage Generative AI tools (e.g., copilots, code assistants, LLM-based tools, GPT, Claude, Perplexity, …) to accelerate development and improve productivity.
  • Design and apply agent-based workflows to automate repetitive tasks such as data preparation, analysis, and reporting.
  • Identify opportunities to reduce manual effort through automation and AI-assisted processes.
  • Continuously improve existing solutions by integrating AI capabilities and optimizing workflows.