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Data and Analytics Consulting Manager

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

The position will be based in Visa’s Sydney office. We seek a data and AI consultant with experience in data preparation, data analysis and implementing AI-centric solutions. You will be working with VISA’s big data sets and in certain cases in conjunction with our clients’ data. You will also be involved in preparing presentation slides to pitch the solutions or final deliverables to the clients.

The candidate should possess hands on experience with associated technologies and ability to collaborate across teams and functions to deliver value to VISA and our clients.

The successful candidate will address various merchant issues, including marketing analytics, loyalty, and store optimization using Visa data. They must have a highly analytical bent of mind and requisite skills to independently analyse and interpret data insights.

We need a dedicated, proactive, and energetic who accepts challenges and is a confirmed problem solver.

About our team?

The Data Science team at Visa Consulting & Analytics (VCA) plays a pivotal role within the Global Data Solutions organization. Comprised of dedicated data scientists, analysts, and engineers, we help major organizations through analytic solutions. Our primary objective is to create solutions that empower our clients using one of the largest datasets in the world, VisaNet.

Principal Responsibilities

  • Work within the project team to support the design, development, and delivery of data science/engineering solutions to VISA clients, adhering to scope and timelines.
  • Building and maintaining positive relationships with clients.
  • Providing mentorship to junior team members.
  • Partner with roles across the organisation including consultants, engineering, and data scientists to address prioritized business problems.
  • Build data driven solutions aligned with client's priorities and leading different vendors for the execution if required.
  • Break large solutions into smaller, releasable phases and seek feedback from product owners, clients, and other partners.
  • Define detailed scope and methodology, design and create solutions, and implement using appropriate tools and techniques.
  • Support development of a robust system for measuring and optimising the quality of deployed algorithms and models.
  • Maintain AI models in production to evaluate performance, model drift, and decay.
  • Actively seek out opportunities to innovate by using VisaNet, external data and new modelling techniques fit for purpose to the needs of our clients.
  • Make sure that the legal/compliance/security related requirements are fully adhered to.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager

Qualifications

Basic Qualifications and Experience

  • Preferable has a degree in Computer Science, Business, or Economics.
  • Experience being analytics consultant or data scientist/engineer.
  • Hands-on experience in scaling data solutions and delivering end-to-end data analytics projects.
  • Outstanding problem-solving skills.
  • Strong internal team and external client management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organisation.
  • Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects.
  • Ability to learn new tools and paradigms continues to evolve at Visa and elsewhere.
  • Demonstrated resource planning and delivery skills.
  • Good communication and presentation skills with ability to interact with different cross-functional team members at varying level.
  • Understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial and merchant will be a plus.
  • Consultancy experience is a plus.

Technical Expertise

  • Experience in writing and optimizing efficient SQL queries, Hive, Python and Spark.
  • Expertise in dashboard and report development using Tableau or Power BI.
  • Proficient in working with PowerPoint and Excel.
  • Good understanding of Agile way of working.

Business and Leadership competencies

  • Quality-focused professional with strong problem-solving abilities and a proven track record in tackling sophisticated analytical challenges.
  • Detail oriented to ensure the highest level of quality in reports and data analysis.
  • Proficient in translating analytics output to actionable recommendations and delivery.
  • Skilled at presenting data-driven insights to audiences with varying levels of technical understanding.
  • Exhibits intellectual curiosity and a desire for continuous learning.

You’re not expected to have 100% of these skills. If you have most of the skills required and this role sounds exciting to you, we'd love to hear from you!

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.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
June 6, 2025

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