Manager, Data Analytics

HTK; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

HTK seeks a skilled Data Analytics Manager to help troubleshoot and optimize BI and ETL pipelines while coordinating with multiple teams across the organization. The role emphasizes data quality, modeling, and architecture to support a large-scale data warehouse environment.

The ideal candidate brings strong communication skills in English and Chinese, deep ETL expertise, and experience with Power BI, SSAS, and Oracle/SQL databases to drive reliable analytics solutions.

Qualifications

• Bachelor's degree (or higher) in a related field such as CS, math, stats, engineering.
• Strong analytical, communication, and understanding of data warehouse dependencies.
• Experience with BI/ETL and data warehouse projects.

Responsibilities

• Translate data pipeline and analytics requirements into analytics models and data pipeline design, guiding design with stakeholders.
• Contribute to use case development and align expectations among stakeholders to streamline issues and client queries.
• Model and design ETL pipeline data structures, storage, integration, integrity check and reconciliation; standardize exception control and traceability.
• Document and write technical specifications for functional and non-functional requirements of the solution.
• Design data models/platforms to allow scalable growth of the data model and minimize change risk for a large-scale data platform.
• Analyze new data sources with structured data quality evaluation and understand impact of integration into existing pipelines and models.
• Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions.
• Education / Qualification

Skills

Data quality metrics

Data modelling

Data architecture

SQL/PLSQL

Hadoop

Python

Java Spring Boot

Docker

Power BI

SSAS

English & Chinese

Problem solving

Education

Bachelor's degree or higher in related field

Tools

Oracle PL/SQL

SQL Server

Hadoop

Power BI

SSAS

Oracle

Docker

Job description

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Manager, Data Analytics

Manager, Data Analytics
Job Summary

Seeking a skilled and detail-oriented Data pipelines and Analytics Engineer to join Data Analytics Service Team. His or her role is mainly to liaise with different parties to support troubleshooting and problem solving of all Business Intelligence/Data warehouse related issues and improvement area of ETL pipelines and data warehouse architecture. The ideal candidate will possess strong analytical skills, excellent communication abilities, and a deep understanding of dependencies and relationship of all upstream and downstream systems related to data warehouse.

Job Duties

• Translate Data Pipeline and Analytics requirements into analytics model and data pipeline design, guide and direct the design by working closely with a range of stakeholders including the rest of the architecture team, external developers, data consumers, data providers, and internal/external business users.
• Contribute to use case development, e.g. workshop to gather and validate business requirements. Align expectation from different stakeholders to streamline, expedite and solve any complains and queries from clients. Experience of Project Management and Business Transformation in Financial and Insurance Industries is an advantage.
• Model and design the ETL pipeline data structure, storage, integration, integrity check and reconciliation. Standardize all exception control and ensure good traceability during trouble shooting.
• Document and write technical specifications for the function and non-functional requirements of the solution.
• Design data model/platform allowing managed growth of the data model to minimize risk and cost of change for a large-scale data platform.
• Analyze new data sources with structured Data Quality Evaluation approach and work with stakeholders to understand the impact of integrating new data into existing pipelines and models.
• Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions.
• Education / Qualification

• Bachelor''s degree (or higher) in project management, business management, mathematics, statistics, computer science, engineering, or related field.

Skills / Knowledge

• Strong technical understanding of data quality metrics, data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse.
• Experience with Stored Procedure (e.g. Oracle PL/SQL) and SQL DDL/DML.
• Hadoop, Python, Java Spring boot, docker or OCP skill is advantage.
• Experience in Power BI tool with usage of data objects, report objects, and service objects in different scenarios
• Experience in Star Scheme and Snowflake design and dimensional modelling
• Knowledge with Power BI and/or SSAS Row level security
• Experience to use JSON API data service for rendering Power BI report
• Knowledge with Power Query M script is an advantage
• Strong Power BI skill with SSAS multi-dimensional model as data source
• Migration of Power BI data model to SSAS data model best practice.
• SSAS model change version control and deployment across different testing environment and production.
• Performance monitoring and management of Power BI servers and SSAS servers.
• Proficient in both spoken and written English and Chinese (Mandarin/Cantonese).
• Proactive with good problem solving and multitasking skills

Working Experience

• At least 5+ year IT experiences with 2-year in data migration, business intelligence and/or data warehouse pipelines projects.
• At least 3-year experience with Oracle or SQL Server SQL development.