Senior Software Engineer, HSBC

Senior Software Engineer

HSBC

Location:
China, Guangzhou

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Data Analyst / Modeler, you will be at the forefront of turning raw data into actionable insights. Your role involves analyzing data, creating visualizations, and designing data models that empower decision-making across our organization. You’ll work closely with stakeholders, data engineers, and data scientists to ensure data quality, accuracy, and relevance.

Job Responsibility:

Collect and analyze cloud-based data from various sources
Apply statistical techniques to identify trends, patterns, and correlations
Translate data findings into actionable insights for business stakeholders
Create and manage conceptual, logical, and physical data models
Work with data analysts to define data requirements and design data models
Collaborate with the development team to ensure database design meets application needs
Conduct data quality checks and address any issues
Ensure data integrity, consistency, and accuracy
Implement data governance practices
Stay updated on industry trends, best practices, and emerging technologies
Explore new ways to enhance data analysis and modeling capabilities
Contribute to the evolution of our data ecosystem

Requirements:

Bachelor’s degree in Computer Science, Statistics, or a related field
Minimum of 2 years of experience in data analysis or modeling
Familiarity with Google Cloud services (BigQuery, Data Studio, etc.)
Exposure to machine learning concepts is a plus
Proficiency in SQL for querying and manipulating data
Experience with data visualization tools (e.g., Google Data Studio, Looker)
Knowledge of statistical techniques and data modeling principles
Strong problem-solving skills and attention to detail

Nice to have:

Exposure to machine learning concepts

What we offer:

Competitive compensation package
Opportunity to work with cutting-edge technologies in a collaborative environment
Chance to contribute to data-driven decision-making across the organization

Additional Information:

Job Posted:
June 11, 2025

Expiration:
July 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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