Senior Associate, Data Operations & Reporting

MoneyHero Group; Manila; Hybrid; PHP 900,000 - 1,350,000; Full time

Job summary

MoneyHero Group in Manila, Philippines is seeking a Senior Associate, Data Operations & Reporting to join the MoneyMax unit. You will build, maintain, and enhance data trackers and reporting tools, translating raw data into actionable insights that drive commercial and operational decisions.

This is a build-and-enhance role: you will analyse processes, identify inefficiencies, and create new systems from scratch—working with the Senior Manager and Business Analysts toward production in BigQuery,

Qualifications

• 3–4 years of 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.
• Ability to work independently, manage deadlines, and handle timelines.
• Strong sense of ownership and a builder's mindset.

Responsibilities

• 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, handling ad hoc data requests and analysis tasks.
• Create new trackers and analytical tools from requirements, prototyping and moving to production in BigQuery.
• Gather data from partner reports and input into trackers with high accuracy.
• Manage data warehouse hygiene: cleaning data, identifying erroneous inputs, managing duplicates, escalating issues.
• Create appropriate data visualisations as required by the Senior DA/Manager.
• Provide expanded analytics reporting per business requirements, including volume and process performance analysis.
• Support expansion of standardised reporting frameworks to additional markets (Singapore, Hong Kong, Taiwan).
• Contribute to standardisation and replication of MoneyMax tracker architecture across markets leveraging BigQuery.

Skills

Google Sheets

BigQuery

SQL

Attention to detail

Independent work

Ownership

Builder's mindset

Education

Bachelor's degree (Mathematics/CS/IT/Statistics/Engineering)

Tools

Zoho CRM

Google Apps Script

AI tools (Claude, Gemini)

Job description

Senior Associate, Data Operations & Reporting

Manila, Philippines

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
• 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

What can you expect from us?

Impact: We are actively empowering and connecting people to a better financial future. Join us if you want to help us achieve our mission.
Work: We have a team of over 350 talented individuals in 4 markets who are hyper passionate about building innovative financial solutions and making an impact on people’s lives.
Culture: We take our work seriously but don’t hesitate to keep things light. We can only create magic when we have a little bit of fun.
Thrive: We launched in 2014, and now help over 10 million monthly users make the best financial decisions. Accelerate your career and become a pioneer in your field with a leading fintech company that seeks to push the boundaries of your imagination and is committed to growing your career.
Reputation: We are backed by world-class organizations and companies and have raised over US$110 million from investors including Experian, Pacific Century Group, IFC - a member of the World Bank Group

EEO Statement MoneyHero Group is an equal opportunity employer. We value, support and respect all individuals and is committed to maintaining an inclusive and diverse working environment. Decisions in hiring are based on business needs, requirements of the job and individual qualifications and shall not be influenced by any consideration of race, ethnic or national origin, religion, sex (including gender identity and/or expression), age, sexual orientation, marital status, parental status, disability, genetic information, political affiliation or other applicable legally protected characteristics.