Data Analyst

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

**Join Visa: A Network Working for Everyone.**

**Job Description**:
**Team Summary**

The Data Analyst is an Analyst level role in the Australian, New Zealand and South Pacific (AuNZSP) team and positioned within the strategy and operations team. We value a learning mindset and are committed to building on analytical skills and business knowledge. We promote new methodologies and best practices in the Data Science field and offer opportunities for ongoing learning and development.

**Principal Responsibilities**
- Serve as an analytics expert in designing, developing, and implementing best in class analytic solutions.
- Create and deliver powerful insights from data through better visualization and storyboarding.
- Adept at data crunching, and passionate about unearthing significant patterns and meaningful insights.
- Collaborate with internal partners to fully understand business requirements and desired business outcomes.
- Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes multiple stakeholders across the business.
- Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan.
- Execute on the analytics plan with appropriate data mining and analytical techniques.
- Perform quality assurance of data and deliverables for work performed by other Data Analyst and self.
- Ensure all project documentation is up to date and all projects are reviewed per analytics plan.
- Ensure project delivery within timelines and budget requirements.
- Learning mindset - Build on analytical skills and business knowledge.
- Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field.
- Designing and running sessions to drive awareness of existing analytical resources for client facing positions and other stakeholders.
- Creating automated tools that can be leveraged or updated by internal stakeholders on an ongoing basis.

**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.

**Qualifications**:
**Qualifications**
- Post-graduate degree (Masters or PhD would be an advantage) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent.
- However, we encourage individuals with non-traditional career paths or who believe they can perform the job without meeting all the qualifications to apply.

**Technical Expertise**
- Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.)
- Expertise in common database systems and value stores (SQL, Hive, HBase, etc.).
- Experience in data visualisation is required, Tableau or Power BI is highly preferred.
- Advanced skills in Excel, PowerPoint / Think-cell and the ability to effectively communicate a story through data (visualisations, storytelling)
- Strong programming ability in different programming languages such as Python, R, and SQL.
- Ability to deliver results within committed scope, timeline, and budget.
- General knowledge of business operations, objectives, strategies, process, and information flow.
- High attention to detail and methodology to ensure accuracy of analysis.
- An expert in time management - strong project management discipline and experience.
- Deliver results within committed scope, timeline and budget.

**What will also help**
- Have a demonstrated curiosity for payments with bonus points assigned for understanding interchange for both Issuers and Acquirers.
- An expert in time management - strong project management discipline and experience.
- High attention to detail and methodology to ensure accuracy of analysis.
- General knowledge of business operations, objectives, strategies, process, and information flow.

**Projects you will be a part of**
- Support strategic initiatives by providing data driven analysis for Market St