Data Analytics Consultant

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.

What it's all about - 

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful and financial results for Visa's network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, VCA solves the most strategic problems for our clients. 

VCA Managed Services (VMS) is an augmentation of Visa's consultancy offering, supporting the execution and implementation of recommendations to help scale competitive advantage and operate to succeed in the digital age. 

We are looking for a VMS Data Analytics Consultant to work with some of Visa's leading clients.  You will be responsible for performing transactional level analysis to position our client's products at the very top of the market. You will act as one of the key touchpoints between the client and Visa, liaising with both to analyze data trends, identifying opportunities for improvements and support the deployment of the appropriate Visa solutions to boost revenue.

What we expect of you, day to day:

· Champion Data Analytics: Promote innovative use of data and analytics to address client business challenges.

· Trend Identification: Spot and share trends in client projects, strategic goals and pain points to guide our data product development and service offerings.

· Transactional Analysis: Analyse customer spending patterns to identify opportunities for potential improvements.

· Enhance Profitability: Utilise predictive techniques to improve client profitability and management of card and payment portfolios.

· Data-driven Optimisation: Design and support the execution of financially viable testing approaches to optimise go-to-market strategy.

· Product Development: Assist in defining product enhancements, requirements, and new features.

· Collaborate with Visa Data Science Lab: Work with our clients to efficiently implement relevant Visa-developed analytical solutions.

· Thought Leadership: Provide expertise in data science techniques and business applications to leverage Visa's unique data set.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

What we're after - 

Basic Qualifications

·Proven experience in data science or analytical roles.

·Project leadership experience delivering data-driven insights.

·Background in payment, retail banking, or retail merchant industries.

·Flexible approach to working to match our various clients, but with strong

emphasis on collaborative communication and taking ownership for delivery.

·Ability to tailor the presentation of analysis, requirements and

recommendations for various audience levels depending on seniority and

technical proficiency.

·Strong consultative skills to build relationships across the organization.

· Results-oriented with strong analytical, consultative, and problem-solving

skills.

·Awareness of the key drivers of profitability and how to calculate it.

·Excellent storyteller, conveying interpretation of evidence and analysis against

strategic objectives resulting in explicit recommended actions.

Preferred Qualifications

·Demonstrated ability to write clean code in SQL and either Python or SAS with

accompanying knowledge of their industry-standard libraries and frameworks.

·Knowledge of Agile delivery methods and associated software (e.g., JIRA,

Confluence).

·Experience of effectively working with data sets that are large, complex and/or

created from multiple sources.

·Capability in building and deploying machine learning algorithms in production

environments (e.g., Classification, Clustering, Association Rules).

·Thought leader with the ability to guide, influence, and inspire performance

across the analytics landscape.

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.