Visa

Consulting Analyst

In short

This role applies analytics, data science, and business consulting to help Visa's clients in payments and financial services solve business problems, manage end-to-end projects, and translate data into actionable recommendations. The employer is Visa, a global payments technology company, hiring for a hybrid role requiring at least 3 days in office in Riga. It demands hands-on experience with large-scale data tools (Hadoop, Hive/SQL, Apache Spark), mandatory Agile experience, and a background in payments, financial institutions, or risk/portfolio management, plus at least 2 years of relevant work experience.

# 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.
Pay Transparency
The estimated salary range for a new hire into this position is €32,200 - €52,900 which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, Pension, Life Insurance, Annual Leave, and Wellness Program.
Job Description
Role Summary
Client Consulting Analysts play a critical role in supporting Visa's clients by applying analytical solutions to business challenges in the payments and financial services industry. The role involves leveraging data science, analytics, and business consulting expertise to deliver actionable insights and drive portfolio growth, profitability, and operational efficiency. Analysts are expected to manage projects, collaborate across teams, and translate complex data into strategic recommendations for clients.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities
•Apply analytical and data science solutions to address business problems for clients in payments, financial institutions, and related sectors.
•Manage end-to-end project delivery, including planning, organizing, and coordinating with cross-functional teams.
•Translate analytics outputs into actionable recommendations and present findings to stakeholders.
•Support business development initiatives and contribute to portfolio optimization, product launches, and customer loyalty strategies.
•Collaborate effectively in interdisciplinary and multicultural environments, adapting communication for various audience levels.
Visa requires at least 3 days in office, expectations of these days 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).
•Experience in applying solutions to business problems in analytics, business consulting, product ownership, or data science.
•Background in payments, financial institutions, consumer lending, risk management, portfolio management, corporate payments, retail and merchant business, or digital projects.
•Experience in project management, including managing team and client expectations and deliverables.
•Agile experience is mandatory.
•Experience working with extremely large data sets.
•Experience planning, organizing, and managing end-to-end projects with diverse cross-functional teams.
•Proven skills in translating analytics output to actionable recommendations.
•Hands-on experience with modern distributed systems, including Hadoop, Hive/SQL, and Apache Spark.
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).
•Prior consulting or product management experience.
•Experience with a top-tier bank or financial services practice of a top-tier consulting firm, with a combination of regional and global experience.
•Advanced skills in PowerPoint and Excel.
•Proficiency in creating reproducible analytic pipelines using tools such as Python and R.
•Proficiency with version control systems like git or GitHub.
•Data visualization using Tableau, Power BI, or R/Python.

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