Senior Data Analyst

About Us

At Deriv, data isn't just numbers—it's the foundation of every strategic decision we make. As an AI-first company, we leverage cutting-edge tools and platforms to automate processes, uncover hidden trends, and enable smarter, faster decision-making across the organization. AI is being embedded into our company DNA, across every department.

You'll be part of our Cyberjaya office, home to 600 talented professionals driving innovation in online trading. Our purpose-built, five-storey building enhances collaboration and creativity. We work in a stimulating, high-tech environment featuring modern conference rooms, a fully-furnished gym, and barista-made coffee, all designed to keep you motivated and inspired. Weekly knowledge-sharing sessions, cross-functional collaborations, and cultural celebrations create an engaging, vibrant workplace.

The Role

As a Senior Data Analyst, you'll transform complex datasets into actionable insights that shape our products, optimize customer experiences, and drive business growth. You'll be at the intersection of technology and strategy, working with stakeholders across the organization to solve critical business challenges through data-driven techniques. Your analytical expertise will directly influence how millions of traders interact with our platform.

You'll lead the charge in cultivating a data-driven culture, mentoring junior analysts while collaborating with data engineers and BI teams to deliver innovative solutions. From developing sophisticated data models to creating compelling dashboards that tell powerful stories, your work will bridge the gap between raw data and strategic business outcomes.

Responsibilities

• Utilize data insights to achieve measurable outcomes: Optimize product features, improve customer experience, and enable operational process automation through data-driven decision making.
• Develop comprehensive data models: Cater for business analytics requirements while carefully considering data privacy, data accessibility, and data accuracy.
• Collaborate across data teams: Work collaboratively with data engineers and BI/Reporting Leads to fulfill business requirements ranging from data quality and data management to business intelligence and reporting.
• Provide actionable reporting solutions: Create dashboards and alerts, and present them effectively to stakeholders to enable informed decision-making.
• Standardize business terminologies: Align and standardize business terminologies across the company to enable well-defined data definitions for KPIs and metrics.
• Continuously optimize team processes: Constantly evaluate team processes and data solutions to achieve better efficiency aligning to company goals.
• Mentor and guide junior team members: Play the role of mentor for junior members of the team to uphold best data practices and foster a culture of analytical excellence.

Requirements

• 5+ years of experience in data analytics, with a solid background in statistics, mathematics, or engineering
• In-depth technical proficiency with SQL (preferably PostgreSQL), programming languages (Python/R), and ETL/ELT frameworks for data cleansing, wrangling, and ingestion
• Extensive experience with data modeling, data aggregation best practices, and designing scalable analytics solutions
• Proven expertise in data visualization tools (Tableau, Google Looker Studio, etc.) and creating impactful dashboards that drive business decisions
• Ability to transform complex data into clear insights and present them effectively to both technical and non-technical stakeholders
• Strong stakeholder management skills, with the ability to ask the right questions, understand business needs, and align analytics solutions to strategic objectives
• Proactively identify problems and solutions while managing multiple competing priorities and projects in a fast-paced, dynamic environment
• Excellent communication and presentation skills with fluency in spoken and written English

Nice to Have

• Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) and modern cloud-based analytics infrastructure
• Knowledge of financial products and digital marketing platforms
• Familiarity with data science methodologies
• Proficiency with AI/low-code data tools

What We Offer

• Diverse, inclusive workplace that values innovation and cross-cultural collaboration
• Competitive compensation and professional development opportunities
• Recognition for excellence and commitment to career growth opportunities