Support merchant‑facing narratives that position CLOs alongside Search, Display, and Affiliate channels as a high‑performing alternative.
Develop programme‑level insights across activation, engagement, repeat usage, and value delivered.
Support structured programme cadence by producing regular performance reporting and optimisation insights.
Improve consistency, accuracy, and quality of reporting across merchants and issuer programmes.
Clearly document assumptions, methodologies, and limitations to ensure credibility and repeatability.
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.
Requirements
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.
Help evolve reporting from basic performance metrics toward more decision‑ready, insight‑led analysis.
Reporting, Automation & Data Enablement: Build scalable Excel‑based models, templates, and dashboards to reduce reliance on manual analysis.
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: Required: 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.
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.
Benefits
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.
Job Description Visa goes beyond payment processing.
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 The role plays a critical part in positioning card‑linked offers (CLOs) as a credible performance marketing channel, providing analysis that demonstrates incremental value, return on advertising spend (ROAS), and programme effectiveness using Visa’s spend
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.
Additional details
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.
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
Help identify optimisation levers such as offer depth, eligibility, cadence, merchant mix, and repeat engagement.
Loyalty Programme & Issuer Analytics: Analyse issuer loyalty and CLO programme performance using Visa transaction and platform data.
Assist with analysis for new programme launches, enhancements, and major programme changes.
Incrementality & Measurement: Support incrementality‑focused analysis to distinguish true uplift from baseline behaviour.