Senior Associate, Data Operations & Reporting
About Us
MoneyHero Limited (NASDAQ: MNY) is a leading tech- and AI-powered personal finance aggregation and comparison platform that provides consumers with actionable insights to discover, compare, and choose the best financial products with confidence — bringing data intelligence and seamless digital access across insurance and banking solutions. The Company operates in Singapore, Hong Kong, Taiwan and the Philippines. Its brand portfolio includes B2C platforms MoneyHero, SingSaver, Money101, Moneymax and Seedly, as well as the B2B platform Creatory. The Company also holds a preference share investment in Jirnexu Pte. Ltd. MoneyHero had over 280 commercial partner relationships as at June 30, 2026, and had approximately 3.7 million Monthly Unique Users across its platform for the three months ended June 30, 2026.
About the Job
As the (Senior) Associate, Data Operations & Reporting, you will be embedded within the MoneyMax business unit and serve as direct data support to the Business Analytics (BA) function. You will build, maintain, and continuously improve data trackers and reporting tools — translating raw data into actionable information that drives commercial and operational decisions.
This is a build-and-enhance role, not a routine-execution role. You will be expected to analyse processes, identify inefficiencies, and create new systems from scratch — working closely with the Senior Manager and the Business Analysts to move from requirement to production. If you enjoy building things that compound in value year over year, this role is for you.
The Senior Associate, Data Operations & Reporting will be responsible for:
Build, maintain, and restructure data trackers for MoneyMax using Google Sheets and BigQuery as core environments
Serve as direct data support to the Business Analyst (BA), handling ad hoc data requests, tracker-related queries, and analysis tasks
Create new trackers and analytical tools based on requirements provided by the BAs or Senior Manager, including prototyping and moving to production in BigQuery
Gather data from partner reports and input into respective trackers with a high degree of accuracy
Manage data warehouse hygiene: cleaning data, identifying erroneous/unusual inputs, managing duplicates, and escalating issues to the Senior Manager
Create appropriate data visualisations as required by the Senior DA and/or DA Manager
Provide expanded analytics reporting per business requirements, including volume analysis, process performance analysis, and data structure analysis
Over time, support expansion of standardised reporting frameworks to additional markets ie Singapore, Hong Kong and Taiwan as guided by the Senior Manager
Contribute to the standardisation and replication of MoneyMax tracker architecture across markets leveraging BigQuery
In this role, we are looking for someone with:
At least 3 to 4 years of working experience in data management, analytics, or a similar data operations role
Advanced proficiency in Google Sheets
Proficient in BigQuery and/or SQL queries
High attention to detail with strong analytical skills — able to organise data into clear, value-adding insights
Ability to work independently, manage deadlines, and handle pressing timelines without close supervision
Strong sense of ownership; highly productive and self-driven
Curiosity and a builder's mindset — comfortable tackling ambiguous problems and creating new systems rather than maintaining steady-state processes
Good to have:
Google Apps Script knowledge
SQL and JavaScript knowledge
Familiarity with AI tools (e.g. Claude, Gemini) for query/formula generation, data extraction, and workflow acceleration
Exposure to automation and cross-system data workflows (e.g. extracting and interpreting PDFs, provider reports)
Zoho CRM knowledge
Ability to diagnose processes and develop improvement plans
Bachelor's degree preferably in Mathematics, Computer Science, Information Technology, Statistics, Engineering (Computer/Electrical/Electronics), or equivalent
Additional Info on Career Growth:
This role offers meaningful scope for progression. As the MoneyMax data environment matures, the successful candidate will have visibility across multiple markets (SingSaver, Hong Kong) and the opportunity to take on broader analytical responsibilities as the team evolves. We value candidates who invest in deepening their knowledge over time — the data infrastructure you help build here is genuinely complex, and the expertise you develop is not easily replicated elsewhere.
#LI-Hybrid
#MoneyMax
#LI-AK1