Állás részletei
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Cég neve
GITMAX IT Services Zrt.
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Munkavégzés helye
Országos lefedettség -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
Analysis of 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
Collection of data from multiple sources and ensuring its quality, accuracy, and completeness
Cleaning, structuring, and transformation of raw data into datasets suitable for advanced analysis
Conducting deep-dive analysis and research to uncover patterns and generate actionable insights
Design and interpretation of A/B tests and other analytical frameworks for measuring impact
Application of causal inference methods to understand drivers of observed business outcomes
Assessment of solutions through backtesting, experimentation, and modeling
Building analytical models to support decision-making and evaluate opportunities for improvement
Creation of visualizations, reports, and presentations for stakeholders
Support of advanced analytical initiatives including LLM-enabled internal solutions such as insight extraction, text analysis, or knowledge support use cases
Partnership with Data Engineers and cross-functional teams to improve the data landscape and analytical infrastructure
Analysis of 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
Collection of data from multiple sources and ensuring its quality, accuracy, and completeness
Cleaning, structuring, and transformation of raw data into datasets suitable for advanced analysis
Conducting deep-dive analysis and research to uncover patterns and generate actionable insights
Design and interpretation of A/B tests and other analytical frameworks for measuring impact
Application of causal inference methods to understand drivers of observed business outcomes
Assessment of solutions through backtesting, experimentation, and modeling
Building analytical models to support decision-making and evaluate opportunities for improvement
Creation of visualizations, reports, and presentations for stakeholders
Support of advanced analytical initiatives including LLM-enabled internal solutions such as insight extraction, text analysis, or knowledge support use cases
Partnership 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, or 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 annual salary: $80,000 – $120,000 USD
Relocation support including accommodation expenses covered
Opportunity to work with a talented international team in one of the most dynamic markets
Fast-paced environment with long-term growth opportunities
Relocation support including accommodation expenses covered
Opportunity to work with a talented international team in one of the most dynamic markets
Fast-paced environment with long-term growth opportunities
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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