Analyst, Loyalty Analytics
Tink
IT, Data Science
Sydney, NSW, Australia
Posted on Apr 28, 2026
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.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa goes beyond payment processing. Our Value Added Services (VAS) team delivers data‑driven insights, digital experiences, loyalty solutions, and advanced risk and fraud tools to create secure, customer‑focused payment experiences.
Loyalty Solutions (part of the Issuer and Merchant Solutions Business) is at the forefront of customer engagement in Australia and New Zealand. We enable loyalty programmes that attract, retain, and reward. Our solutions deliver real value for cardholders and measurable results for banks, merchants, and fintechs. Through collaboration and creativity, we help partners build digital‑first programmes that strengthen relationships and drive growth.
What We Are Looking For
We are looking for an analytically strong, commercially curious analyst with experience in marketing analytics, performance measurement, or loyalty analytics, who is excited by turning complex data into clear, insight‑led stories.
You understand how card‑linked offers function as a performance marketing channel and are comfortable analysing metrics such as ROAS, CPA/CAC, incrementality, conversion, and repeat behaviour. You enjoy working with large transaction‑level datasets, building scalable reporting in Excel, and supporting both merchant and issuer conversations with credible, actionable insights.
Experience in financial services, loyalty platforms, performance marketing, affiliate analytics, or retail media environments is highly valued.
Role Summary
The Analyst, Loyalty Analytics is responsible for building, maintaining, and optimising insight‑led reporting and data analysis that supports:
Working closely with Senior Managers, Client Account Executives, and Implementation / Sales Engineers, the Analyst helps translate complex data into clear insights that inform decision‑making, programme cadence, and growth priorities.
Key Responsibilities
Merchant Content & Performance Marketing Analytics:
Qualifications
Qualifications & Experience:
Technical Skills & Capabilities:
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.
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.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa goes beyond payment processing. Our Value Added Services (VAS) team delivers data‑driven insights, digital experiences, loyalty solutions, and advanced risk and fraud tools to create secure, customer‑focused payment experiences.
Loyalty Solutions (part of the Issuer and Merchant Solutions Business) is at the forefront of customer engagement in Australia and New Zealand. We enable loyalty programmes that attract, retain, and reward. Our solutions deliver real value for cardholders and measurable results for banks, merchants, and fintechs. Through collaboration and creativity, we help partners build digital‑first programmes that strengthen relationships and drive growth.
What We Are Looking For
We are looking for an analytically strong, commercially curious analyst with experience in marketing analytics, performance measurement, or loyalty analytics, who is excited by turning complex data into clear, insight‑led stories.
You understand how card‑linked offers function as a performance marketing channel and are comfortable analysing metrics such as ROAS, CPA/CAC, incrementality, conversion, and repeat behaviour. You enjoy working with large transaction‑level datasets, building scalable reporting in Excel, and supporting both merchant and issuer conversations with credible, actionable insights.
Experience in financial services, loyalty platforms, performance marketing, affiliate analytics, or retail media environments is highly valued.
Role Summary
The Analyst, Loyalty Analytics is responsible for building, maintaining, and optimising insight‑led reporting and data analysis that supports:
- Merchant content sourcing and optimisation, and
- Issuer and merchant loyalty programme performance
Working closely with Senior Managers, Client Account Executives, and Implementation / Sales Engineers, the Analyst helps translate complex data into clear insights that inform decision‑making, programme cadence, and growth priorities.
Key Responsibilities
Merchant Content & Performance Marketing Analytics:
- Build and maintain reporting to support merchant content sourcing, focusing on:
- Incremental sales and customer impact
- Return on advertising spend (ROAS)
- Cost per acquisition (CPA / CAC)
- Conversion, frequency, and repeat behaviour
- Analyse performance across merchants, categories, and offer types to identify what drives strong outcomes.
- Support merchant‑facing narratives that position CLOs alongside Search, Display, and Affiliate channels as a high‑performing alternative.
- Help identify optimisation levers such as offer depth, eligibility, cadence, merchant mix, and repeat engagement.
- Analyse issuer loyalty and CLO programme performance using Visa transaction and platform data.
- Develop programme‑level insights across activation, engagement, repeat usage, and value delivered.
- Support structured programme cadence by producing regular performance reporting and optimisation insights.
- Assist with analysis for new programme launches, enhancements, and major programme changes.
- Support incrementality‑focused analysis to distinguish true uplift from baseline behaviour.
- Help evolve reporting from basic performance metrics toward more decision‑ready, insight‑led analysis.
- Contribute to experimentation, cohort analysis, and learning agendas where appropriate.
- Build scalable Excel‑based models, templates, and dashboards to reduce reliance on manual analysis.
- Improve consistency, accuracy, and quality of reporting across merchants and issuer programmes.
- Clearly document assumptions, methodologies, and limitations to ensure credibility and repeatability.
Qualifications
Qualifications & Experience:
- Bachelor’s degree in Analytics, Economics, Data Science, Marketing, Finance, or a related field.
- 2–4 years’ experience in analytics, marketing analytics, or performance measurement roles.
- Experience supporting commercial or client‑facing teams with insights and reporting.
Technical Skills & Capabilities:
- Strong analytical skills with experience working on large, complex datasets.
- Advanced Microsoft Excel (e.g. pivot tables, Power Query, complex formulas, scenario modelling).
- SQL for data extraction and analysis.
- Experience with BI tools (e.g. Power BI, Tableau, Looker, or similar).
- Familiarity with marketing analytics metrics including ROAS, CPA/CAC, incrementality, conversion rates, and repeat behaviour.
- Ability to translate data into clear, commercially relevant insights and narratives.
- Experience analysing transaction‑level or payments data.
- Exposure to loyalty platforms, card‑linked offers, affiliate marketing, retail media, or performance marketing analytics.
- Python or R for analysis, modelling, or automation.
- Experience with cohort analysis, experimentation, or incrementality measurement approaches.
- Understanding of attribution challenges and limitations in digital marketing environments.
- Curious, detail‑oriented, and outcome‑focused.
- Comfortable working in a fast‑paced, evolving environment.
- Enjoys problem‑solving and continuous improvement.
- Takes pride in producing high‑quality, credible analysis.
- Collaborative, proactive, and eager to learn.
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.