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GITMAX IT Services Zrt.
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Munkavégzés helye
Országos lefedettség -
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- Általános munkarend
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Responsibilities
Define and improve metrics reflecting product performance, service quality, and operational efficiency
Analyze client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance
Work on problems related to attrition / churn, customer behavior, operational effectiveness, and service improvement
Collect data from multiple sources and ensure its quality, accuracy, and completeness
Clean, structure, and transform raw data into datasets suitable for advanced analysis
Conduct deep-dive analysis and research to uncover patterns and generate actionable insights
Design and interpret A/B tests and other analytical frameworks for measuring impact
Apply causal inference methods to understand what truly drives observed business outcomes
Assess solutions through backtesting, experimentation, and modeling
Build analytical models to support decision-making and evaluate opportunities for improvement
Create visualizations, reports, and presentations for stakeholders
Support advanced analytical initiatives, including work related to LLM-enabled internal solutions, such as insight extraction, text analysis, or knowledge support use cases, where relevant
Partner with Data Engineers and cross-functional teams to improve the data landscape and analytical infrastructure
Analyze client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance
Work on problems related to attrition / churn, customer behavior, operational effectiveness, and service improvement
Collect data from multiple sources and ensure its quality, accuracy, and completeness
Clean, structure, and transform raw data into datasets suitable for advanced analysis
Conduct deep-dive analysis and research to uncover patterns and generate actionable insights
Design and interpret A/B tests and other analytical frameworks for measuring impact
Apply causal inference methods to understand what truly drives observed business outcomes
Assess solutions through backtesting, experimentation, and modeling
Build analytical models to support decision-making and evaluate opportunities for improvement
Create visualizations, reports, and presentations for stakeholders
Support advanced analytical initiatives, including work related to LLM-enabled internal solutions, such as insight extraction, text analysis, or knowledge support use cases, where relevant
Partner with Data Engineers and cross-functional teams to improve the data landscape and analytical infrastructure
Requirements
4+ years of hands-on experience in Data Analytics / Data Science / Analytics Research
Strong command of SQL and Python
Solid understanding of mathematical statistics and probability theory
Strong experience with A/B testing, experiment design, and interpretation of results
Good practical understanding of causal inference
Experience with machine learning and/or mathematical modeling in applied business problems
Ability to move from raw data to structured insights and business recommendations
Strong analytical and problem-solving skills with a high level of intellectual curiosity
Team player with strong communication and stakeholder management skills
Structured and analytical thinker, detail-oriented, results-driven
Fast learner, able to work independently in a dynamic environment
Creative problem-solver with adaptability to changing requirements
Strong command of SQL and Python
Solid understanding of mathematical statistics and probability theory
Strong experience with A/B testing, experiment design, and interpretation of results
Good practical understanding of causal inference
Experience with machine learning and/or mathematical modeling in applied business problems
Ability to move from raw data to structured insights and business recommendations
Strong analytical and problem-solving skills with a high level of intellectual curiosity
Team player with strong communication and stakeholder management skills
Structured and analytical thinker, detail-oriented, results-driven
Fast learner, able to work independently in a dynamic environment
Creative problem-solver with adaptability to changing requirements
What we offer
Competitive and attractive compensation package, with performance-based annual bonuses (2–3 salaries)
Relocation package (if needed) covering flights, temporary accommodation, visa support, and family relocation (including pets)
Extensive learning opportunities: professional training, certifications, soft skills development, free English courses, and trading workshops
Healthcare & insurance: full health and life insurance for employees, spouses, and children — including vaccinations, medical tests, mental health support, vision and dental coverage
Generous time off: 21 days of annual leave, paid sick leave, plus national holidays
Lifestyle support: allowance for sports clubs or other physical activities, meal and transportation allowance
Family benefits: education allowance for children’s school and kindergarten fees
Travel perks: holiday flight tickets and accommodation coverage (within the yearly limit)
Culture & community: outstanding team-building events, corporate parties, and strong expat-friendly support
Modern workplace: office located in the heart of Kuala Lumpur, with team lunches and convenient city access
Data at scale: work with massive global datasets from tens of millions of clients worldwide, solving high impact challenges at scale
Relocation package (if needed) covering flights, temporary accommodation, visa support, and family relocation (including pets)
Extensive learning opportunities: professional training, certifications, soft skills development, free English courses, and trading workshops
Healthcare & insurance: full health and life insurance for employees, spouses, and children — including vaccinations, medical tests, mental health support, vision and dental coverage
Generous time off: 21 days of annual leave, paid sick leave, plus national holidays
Lifestyle support: allowance for sports clubs or other physical activities, meal and transportation allowance
Family benefits: education allowance for children’s school and kindergarten fees
Travel perks: holiday flight tickets and accommodation coverage (within the yearly limit)
Culture & community: outstanding team-building events, corporate parties, and strong expat-friendly support
Modern workplace: office located in the heart of Kuala Lumpur, with team lunches and convenient city access
Data at scale: work with massive global datasets from tens of millions of clients worldwide, solving high impact challenges at scale
Company info
One of the world’s leading fintech companies has been building its own trading platform for over 15 years, serving tens of millions of clients globally and processing millions of transactions daily. With a central hub in Cyprus and a rapidly growing office in Kuala Lumpur, the company continues to expand its international footprint.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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