Product Analyst, Merchant Data Platform (Data Analysis, SQL, Big Data Skill at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Big Data, Stakeholder Management, GenAI, Machine Learning, Data Quality, Communication, Problem Solving, Analytical Skills, Cross-Functional Collaboration, Training, Geospatial Mapping, Business Intelligence, Product Management

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description With data being the fuel that drives our future – our strategies, policies and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. We are seeking a Product Analyst to work on merchant data platform initiatives globally. You will work closely with product managers and engineering teams to manage GenAI/ML data initiatives, analyze merchant and transaction data to improve data quality across Visa’s merchant platform and distill merchant data and stakeholder feedback into meaningful roadmap, product programs and merchant stakeholder experiences. You will utilize your analytical skills and effective communication abilities to directly impact emerging agentic commerce initiatives that rely on Visa’s merchant data. Essential Functions : Work and manage our support team to resolve stakeholder concerns and evolve our current support processes Help to streamline how Merchant Product Management collaborates with Visa business groups that utilize merchant data products Gather and implement feedback and recommendations for how we can improve our data quality, data partnerships and stakeholder consumption of merchant data Provide strategic direction and thought leadership and a vision for our program initiatives, defining world-class merchant support Understand core elements of our operations and product strategy, and drive innovative and scalable opportunities across quality of experience, scale, instrumentation and contribute to the MDP product roadmap Provide program and project management support for major platform, product, and tool driven change initiatives Develop departmental procedures and best practices standards Develop expert knowledge on the features and business applications of our products Proactively review user trends to make recommendations for improvement of current processes, policies and tools Identify and analyze sources of risk within our platform This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Recent experience creating training/labelling data, prompt engineering, working with large language models (GenAI LLMs) and machine learning and validating GenAI/ML outputs with internal and external stakeholders Experience with point of interest (POI) data and/or geospatial mapping products and data products 3 years of experience in leading cross-Team analytics/business intelligence or data quality programs Excellent written and verbal communication skills with obsessive attention to detail Self-motivated and quick to learn new skills and operational processes Ability to thrive in a cross functional setting and communicate effectively with different teams at Visa A positive attitude, calming demeanor, and a great sense of humor Demonstrated problem-solving and analytical abilities Ability to handle multiple competing priorities in a fast-paced environment Payment processing background is a big plus Desires to learn & grow into a product manager on a data product track Additional Information 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.

Responsibilities

The Product Analyst will manage merchant data platform initiatives, working closely with product managers and engineering teams to analyze merchant and transaction data. They will also gather feedback to improve data quality and stakeholder experiences.