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Company Description
Visa is a global leader in digital payments, facilitating over 215 billion payment transactions between consumers, merchants, financial institutions, and government entities in over 200 countries and territories each year. Our mission is to connect the world through the most groundbreaking, convenient, reliable, and secure payments network, allowing individuals, businesses, and economies to prosper.
When you become part of Visa, you join a culture of purpose and belonging – where your growth is prioritized, your identity is valued, and the work you do matters. We believe that economies that include everyone uplift everyone. The work you will do will directly impact billions of people globally – playing a critical role in increasing financial accessibility and shaping the future of money flow.
Join Visa: A Network Working for Everyone.
Job Description
About Us
Visa Managed Services (VMS) is the delivery arm of the Visa Consulting and Analytics (VCA) team. We leverage our expertise in strategy, consulting, data analytics, and industry experience to develop and implement data-driven recommendations to enhance client performance. The VMS team excels in sourcing the right talent for our clients to drive change.
About Your Role
Working directly at the client’s office, you will thrive in a cooperative team with experts from product, analytics, and marketing divisions. Collectively, you will develop a roadmap of strategic activities, prioritize issues, and collaborate with a cross-functional team to deliver results for the client.
You will partner closely with the Data Science team to design, implement, and manage models in areas such as predictive modeling, churn modeling, customer segmentation, time series, and natural language. In this role, you will influence and contribute to data science evaluation and planning, maintaining alignment with our strategic direction for analytics services, tools, and platforms.
About You
Our ideal candidate is a confident problem-solver who excels in data manipulation, has some knowledge of data warehousing, and can synthesize key findings for the business. You will champion data science and the use of new tools and techniques to resolve business problems, and work collectively with the wider analytics team and platform to offer collective insight and value for stakeholders. Ideally, you have experience working with banking product teams and digital payment technologies and are motivated by taking on a task and designing and managing the solution path. If you're results-driven and customer-focused, we want you!
Key Competencies:
Solution-oriented mindset – Implementing creative problem-solving techniques and advocating a client-centric approach to customer insights when opportunities and challenges present themselves to meet specific business objectives
Active Contributor to Team Success - Actively participating as a team member to achieve team goals. Makes suggestions for accomplishing team goals or carrying out team functions. Provides necessary assistance to remove obstacles to help the team achieve its goals
Building Strategic Work Relationships - Developing and using collaborative relationships to achieve work goals. Utilizes excellent interpersonal relationships by helping people feel valued, appreciated, and involved in discussions (enhances self-esteem, empathizes, involves, discloses, supports).
What You Need to Be Successful:
Understanding of key concepts of statistics and statistical and machine learning techniques.
Experience in creating analytical solutions using statistical or probabilistic decision making.
experience with extracting and aggregating data from large datasets using SQL or other tools
Proficiency in SQL of intermediate to advanced level, complemented by SPARK and HiveQL skills.
Proficiency with analytics programming languages like R and Python with recent hands-on experience is highly preferred
Experience with GitHub and Git Workflow is highly preferred
Experience across major open-source repositories, e.g. CRAN/MRAN or PyPi
Extensive experience in using data-driven analytics to develop dashboards, insights, and recommendations, specifically R / Posit Connect (with experience with Shiny and Markdown packages), or for Python (with experience with Dash or Streamlit or other equivalent packages)
Ability to understand complex problems and take a structured approach using data-driven insights to solve problems
Synthesizing qualitative and quantitative data from various sources to identify relationships and patterns. Arriving at logical conclusions, you will identify opportunities for improved customer outcomes and design and develop analytical solutions for our stakeholders.
Things You Should Be Familiar with
Strong communication skills to make complex concepts accessible for business stakeholders
Ability to influence and collaborate at all levels without relying on hierarchy
Good problem-solving skills, comfortable working in complex, challenging environments.
A passion for your domain of expertise and a high level of curiosity
An ability to master new tools and skills as required.
Outcome-oriented, persistence to challenge the status quo and deliver customer results
A growth mindset, constantly striving to learn and develop
Feels adept at managing multiple stakeholders to uncover, quantify, and present key findings
You’re a confident communicator and strong team player
You’re not expected to possess 100% of these skills. If you possess most of the required skills and find this role appealing, we'd love to hear from you!
Why Work with Us:
Opportunity to work in a dynamic and fast-paced environment
Take advantage of working across two organizations
Collaborative and supportive team culture
Competitive salary a
