Finance Data Analyst

ShopBack; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading cashback platform in Kuala Lumpur is seeking a Finance Data Specialist to ensure the accuracy of financial reporting. This role involves collaborating with different departments, driving data integrity initiatives, and supporting automation in financial processes. The ideal candidate has strong data competencies, finance expertise, and enjoys problem-solving in a fast-paced environment.

Benefits

Competitive compensation

Career progression paths

Work-From-Anywhere benefit

Flow Day Thursday

Qualifications

• 3-5 years of relevant work experience, ideally from e-commerce or tech companies.
• Must have Finance, Accounting domain expertise; understanding of Finance business processes is a plus.

Responsibilities

• Drive initiatives to improve the accuracy and consistency of financial reports.
• Collaborate with Finance and Engineering teams to resolve data discrepancies.
• Support the automation of financial accounting and reporting processes.

Skills

SQL

Python

Generative AI tools

Problem-solving

Analytical skills

Interpersonal skills

Education

Bachelor’s degree in Computer Science, Finance, Accounting or a related major

Job description

Overview

ShopBack began in 2014 as a late-night spark of inspiration between Henry and Joel — not just to build a Cashback platform, but to reimagine how brands and consumers connect. As former advertisers, they understood the limitations of traditional marketing, and saw an opportunity to deliver more value on both sides. That idea quickly turned into action, with the first prototype built during a 24-hour sprint. Today, ShopBack serves over 50 million users across 13 markets, partners with 20,000+ merchants, and powers over half a million transactions daily. We\'re building The World’s Most Rewarding Way to Shop — and looking for bold, driven individuals to join us.

The Role

The role will ensure the accuracy, completeness, and reliability of our financial reporting, using data analysis and quality control as key levers. This position offers a unique chance to act as a bridge between our Finance, Engineering, Data, and Operations teams. The role will be responsible for critical support and system maintenance, data quality control and operational efficiency. The new joiner would act as a change ambassador by educating and empowering finance teams on system functionalities, process improvements and best practices. The ideal candidate should be forward-thinking, passionate about technology and enjoy a hands-on role with plenty of problem solving and collaboration opportunities.

Responsibilities

• Data Systems & Integrity (80%)
  • Drive initiatives to improve the accuracy and consistency of financial reports through robust data validation and reconciliation processes.
  • Collaborate with Finance and Engineering teams to investigate and resolve data discrepancies, acting as a key point of contact for system integrity issues.
  • Implement and maintain system-driven controls to safeguard financial data, and support internal and external audits.
  • Support the integration of NetSuite with other internal and external systems.
• Process Automation (20%)
  • Support the automation of financial accounting and reporting processes by contributing to ongoing projects.
  • Contribute to improving the degree of accuracy of Finance data through system controls and process documentation.
  • Drive operational efficiency by supporting the implementation of new solutions, including AI-enabled ones
• Inter-departmental Collaboration & Support
  • Act as a key partner to internal stakeholders, providing essential technical expertise and bridging gaps between different departments.
  • Work closely with Product Managers to support QC and rollout of new system solutions
  • Promote a culture of accountability and compliance by assisting with the end-to-end documentation of key processes.

Qualifications

• Strong data competencies in SQL, Python or any other languages
• Must have Finance, Accounting domain expertise; understanding of Finance business processes is a plus.
• 3-5 years of relevant work experience, ideally from e-commerce or tech companies
• Demonstrated use of Generative AI tools (e.g. ChatGPT) to develop new or improve workflows, enhance productivity, and drive efficiency at scale.
• Strong problem-solving, project management, analytical and multi-tasking skills
• Excellent communication and interpersonal skills, with the ability to collaborate with both technical and non-technical stakeholders
• Bachelor’s degree in Computer Science, Finance, Accounting or a related major.

ShopBackers\' DNA

• Grit - We tackle all challenges head-on, working together to solve problems and achieve success.
• Hunger - We value hard work, and having relentless drive.
• Speed - We move fast and have a bias for action, all to deliver maximum impact.
• Impact - We focus on results, always aiming for the best possible outcomes and timelines.
• Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles.

Exclusively for ShopBackers

• Career progression paths and opportunities to take on greater challenges that help you realise your ambitions.
• Be part of a winning team on a journey to global scale.
• Competitive compensation based on your performance.
• Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.
• Work-From-Anywhere benefit to enable you to thrive personally and professionally.
• Flow Day Thursday (1-day a week, optional to work from home or office)

ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!

We are committed to protecting your data and ensuring fairness in our recruitment process. We may use automated tools, including AI, to help our team screen applications, match candidates to roles, generate interview notes, and review assessments. These tools assist our recruiters and interviewers and they do not make final hiring decisions. If an assessment is part of your process, we may (with your consent) capture screen activity and/or webcam images during the test to help verify test integrity. We do not use AI to infer your emotions or sensitive traits. We process personal data lawfully, securely, and transparently in line with applicable data-protection laws and our commitment to fair employment. You can ask questions or exercise your rights including to request human review or to challenge an outcome by contacting [e-mail]