Data Analyst

We are seeking a Data Specialist for a leading global online multi-asset broker serving professional traders worldwide. The role focuses on defining metrics, analyzing data, and building models to generate insights.

Your role is to collect, process, and analyze data to generate actionable insights that support data-driven decision-making across the organization. The role involves identifying trends, uncovering patterns, and creating visualizations or reports to communicate findings effectively to stakeholders, driving improvements in operations, strategy, and performance.

Responsibilities

•  To define/improve metrics representing the product’s performance and operations efficiency
•  Collect data from multiple sources, ensuring its accuracy and completeness.
•  Clean, organize, and transform raw data into usable formats for analysis.
•  To search for inefficiencies and suggest solutions
•  To assess solutions through backtesting, A/B testing and modeling
•  To know well the data landscape and collaborate with Data Engineers to improve it

Your Profile

•  Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
•  2-4 years of hands-on experience in data analysis or a related field.
•  Experience working in Agile environments or collaborating with development teams is a plus.
•  Proficiency in SQL
•  Strong knowledge of Python (pandas, visualization and ML packages)
•  Experience with Spark would be a plus
•  Experience with Metabase and/or Grafana would be a plus
•  Understanding of statistical methods, predictive modeling, and machine learning techniques.
•  Ability to perform exploratory data analysis (EDA) and hypothesis testing.
•  Acting as a team player
•  Highly organized and rigorous thinker, able to solve problems diligently and creatively
•  Detail-oriented and result-oriented individual
•  Absolutely quick learner, able to work independently
•  Able to adapt to constant requirement changes and produce fast solutions​​​​​​​

Conditions

•  Competitive and attractive compensation
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops
•  Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care
•  Generous time off, including 21 days of annual leave and paid sick leave
•  Allowance for sports club memberships or other physical exercise activities
•  Holiday flight tickets and accommodation coverage (within the yearly limit)
•  Meal and transportation allowance
•  Education allowance for your children’s school and kindergarten fees
•  Outstanding team-building experiences and corporate parties
•  The role requires relocation to Kuala Lumpur, Malaysia