Data Analyst

8 hours ago

hong kong, Hong Kong SAR China Peoplebank Asia Full time

Data Analyst / Scientist I 3 Headcounts I Financial Services / Transportation 5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Peoplebank Asia Recruitment Consultant I Information Technology The Company: We are representing 3 leading companies offering 3 exceptional positions within the Financial Services and Transportation sectors. Each role provides unique opportunities for professional growth and meaningful impact, spanning areas such as Azure Cloud implementation, Digital Data Enablement, and technical leadership. Digital Data Analytics Specialist – Leading Retail and Commercial Bank – Up to 35k Managed digital projects’ analytics requirements via requirement gathering & analysis Develop tagging & data layer specifications for IT to implement tagging in digital journeys for data collection of digital behavior and transactions Supervise the test team to complete UAT on front-end digital data enablement Develop analytics dashboards for digital product teams in analyzing customer behavior & digital performance against respective project KPIs Prior experience working in Financial Services Data Engineer – Transport Operator – Up to 40k Implement scalable cloud-based data platform to enable ingestion, transformation, and storage of enterprise data across multiple sources Improve data consistency, reliability, and controlled accessibility by automating ETL/ELT workflows 3+ years of professional experience related to a data platform, experienced in Databricks and PowerBI Understanding of data lifecycle and governance principles (e.g., data quality, lineage, security, and compliance) Senior Data Scientist – Global Payments Technology Company Lead end-to-end client engagement, overseeing every stage from initial pitch and proposal development through project execution to final delivery and post-project follow-up Define detailed analytics scope and methodology, and create an analytic plan Minimum of 8 years of analytical experience in applying statistical solutions to business problems Prior experience working in a financial institution or payment business analytics department Hands‑on experience with one or more data analytics/programming tools such as SQL, SAS, Python Proficiency in statistical techniques including Linear & Logistic Regression, Decision Trees, Random Forests, K‑Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, evolutionary algorithms, Support Vector Machines, Neural Networks, etc. #J-18808-Ljbffr

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