Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in Malaysia.

Who We Are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you do at Axi!

The Data Analyst will unlock insights from Axi’s client and partner data to improve onboarding, servicing, and retention. By combining analytics with business storytelling, the role will help CX deliver scalable efficiency and achieve our BHAG – establishing Axi as the broker that gives clients and partners the EDGE.

Your EDGE Assignment/You Will

• Design and maintain dashboards (Power BI, Amplitude, Databricks) to track onboarding, servicing, and satisfaction KPIs.
• Translate complex data into actionable recommendations for leadership and cross-functional teams.
• Monitor key client and partner performance metrics and highlight gaps or risks.
• Streamline reporting pipelines with SQL/Python and automation tools, reducing manual workload.
• Partner with DevRev and Client Experience operation teams to embed analytics into workflows.
• Work closely with CX leaders, Marketing, Product, and Regional Heads to enable data-driven decisions.
• Prepare concise, executive-ready reports and insights packs.
• Analyze large datasets across onboarding, servicing, payments, and marketing to identify performance drivers.
• Maintain high data quality standards through routine checks, reconciliations, and thorough documentation of data sources and processes while adhering to data privacy and regulatory standards in all analytics work.
• Contribute to the continuous improvement of analytics tools, reporting processes, and data visualisation methods to improve speed, accuracy, and stakeholder engagement.

Are you the one?

• Bachelor’s degree in Data Science, Statistics, Economics, Finance, or related field
• 2–4 years of data analytics experience, preferably in fintech, trading or financial services
• Proficiency in SQL and Excel; working knowledge of Python/R
• Skilled in data visualization tools (Power BI, Tableau)
• Strong analytical & problem-solving skills, ability to simplify complexity
• Clear communicator, ability to influence decisions through data storytelling

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 21 annual leave days per year.
• Health Insurance

Axi's interview journey

• Talent Acquisition Interview (45 minutes)
• Take Home Assessment (1 day)
• Hiring Manager Interview (1 hour)

We want to inform all prospective candidates that Axi's designated Employer of Records (EOR) in Malaysia is TDCX. As part of our commitment to legal compliance, all Axi Malaysia employees will be officially working under TDCX Malaysia.

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.