Product Analytics Manager
Tink
Product, Data Science
Bogotá, Bogota, Colombia
Posted on Apr 28, 2026
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
The Business Intelligence & Analytics organization in Client Services builds data platforms, analytics products, and AI‑enabled capabilities that support decision‑making across Risk, Client Services, and core business functions. This team plays a critical role in executing against this portfolio by translating business needs into clear, actionable product work and partnering closely with engineering and analytics teams.
We are seeking a Product Analytics Manager to support delivery of analytics and AI‑driven solutions. This is a hands‑on, individual contributor role focused on execution, backlog management, and delivery coordination across complex data environments.
Responsibilities Include
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 3–6 years of experience in solutions management, product execution, business analysis, analytics, or technology delivery Experience working with data platforms, analytics solutions, or AI‑enabled products Strong ability to translate business needs into structured requirements Experience working in Agile or hybrid delivery environments Strong communication skills and comfort working with technical and non‑technical stakeholders Experience supporting analytics dashboards, data pipelines, or AI/Machine Learning solutions Familiarity with SQL, data modeling concepts, or BI tools (e.g., Power BI, Tableau) Exposure to AI/ML concepts or data science workflows Experience working in large, matrixed or global organizations
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
The Business Intelligence & Analytics organization in Client Services builds data platforms, analytics products, and AI‑enabled capabilities that support decision‑making across Risk, Client Services, and core business functions. This team plays a critical role in executing against this portfolio by translating business needs into clear, actionable product work and partnering closely with engineering and analytics teams.
We are seeking a Product Analytics Manager to support delivery of analytics and AI‑driven solutions. This is a hands‑on, individual contributor role focused on execution, backlog management, and delivery coordination across complex data environments.
Responsibilities Include
- Supporting end‑to‑end execution of data, analytics, and AI solutions from intake through delivery
- Managing and maintaining product backlogs, including writing clear requirements, user stories, and acceptance criteria
- Partnering with engineering, Business Intelligence (BI), and data science teams to deliver scalable and compliant solutions
- Working with business stakeholders to clarify scope, requirements, and priorities
- Supporting delivery tracking, documentation, and stakeholder communications
- Contributing to analytics and AI use cases, pilots, and production capabilities
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 3–6 years of experience in solutions management, product execution, business analysis, analytics, or technology delivery Experience working with data platforms, analytics solutions, or AI‑enabled products Strong ability to translate business needs into structured requirements Experience working in Agile or hybrid delivery environments Strong communication skills and comfort working with technical and non‑technical stakeholders Experience supporting analytics dashboards, data pipelines, or AI/Machine Learning solutions Familiarity with SQL, data modeling concepts, or BI tools (e.g., Power BI, Tableau) Exposure to AI/ML concepts or data science workflows Experience working in large, matrixed or global organizations
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.