At a glanceSummarised by Seekless from the posting.
Must have8
Minimum 5 years of work experience in wealth management, finance institutions, or related industries, with at least 2 years of relevant work experience.
Demonstrate integrity, humility, and a strong work ethic, with excellent moral character.
Possess extensive financial expertise, familiarity with overseas financial markets, and foundational knowledge in statistics, machine learning, and financial operations.
Experience in data application domains, with a keen data-driven focus to identify issues, uncover connections between business details and data, discern growth opportunities, and provide analytical insights and recommendations to support business operations.
Experience in large-scale data analysis and modeling, proficient in SQL, and familiar with at least one modeling language (R/SAS/PYTHON, etc.).
Experience in data marketing projects and familiarity with data marketing workflows.
Innovative mindset with a spirit of exploration, strong communication, and teamwork skills.
Fluent in both written and spoken Chinese and English, with excellent communication and negotiation skills in a cross-cultural environment.
Nice to have1
Overseas work or living experience is preferred.
Skills
SQL
R
SAS
Python
Business Analyst Specialist
About the company
About our client:
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Top Chinese Securities firm
Location:
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Hong Kong
Responsibilities
Responsibilities:
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Build a customer group data analysis framework to enhance data analysis and insights.
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Conduct in-depth exploration of customer group characteristic tag maps, behavioral preference maps, and demand evolution paths.
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Identify business growth opportunities to support data-driven and refined customer group operations.
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Provide data insights and analysis for customer group operations, tracking and analyzing the conversion effects of various operational strategies.
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Continuously optimize operational strategies based on data analysis results.
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Integrate deeply with business scenarios to innovate and deliver customer group decision-making tools, such as strategy deduction models.
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Explore effective data analysis and experimental methods, conducting in-depth research on business paths and conversion funnels.
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Gain insights into user behaviors and psychology to improve operational ideas and provide suggestions and strategies to maximize user value.
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Research and investigate industry-leading data application tools, deconstruct customer value elements, and refine reusable customer group value identification tools.
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Handle other data analysis-related tasks or assignments from the manager.
Requirements
Pre-requisites:
•
Minimum 5 years of work experience in wealth management, finance institutions, or related industries, with at least 2 years of relevant work experience.
•
Demonstrate integrity, humility, and a strong work ethic, with excellent moral character.
•
Possess extensive financial expertise, familiarity with overseas financial markets, and foundational knowledge in statistics, machine learning, and financial operations.
•
Experience in data application domains, with a keen data-driven focus to identify issues, uncover connections between business details and data, discern growth opportunities, and provide analytical insights and recommendations to support business operations.
•
Experience in large-scale data analysis and modeling, proficient in SQL, and familiar with at least one modeling language (R/SAS/PYTHON, etc.).
•
Experience in data marketing projects and familiarity with data marketing workflows.
•
Innovative mindset with a spirit of exploration, strong communication, and teamwork skills.
•
Fluent in both written and spoken Chinese and English, with excellent communication and negotiation skills in a cross-cultural environment.