Data Analyst | Global Conglomerate | AI, Data, and Cloud

Techforce Group Limited; Hong Kong; On-site; HKD 300,000 - 540,000; Full time

Job summary

TechForce is a leading technology consulting firm in Asia‑Pacific, delivering data transformation, analytics and cloud solutions for multinational clients. The role focuses on turning data into actionable insights through dashboards and reliable data products using Azure, Power BI, Databricks and Fabric.

You will work with cross-functional teams to model data, design semantic schemas and implement data-driven solutions across regions, supporting senior stakeholders with clear recommendations.

Qualifications

• 3–5 years’ experience in Data Analysis or similar.
• Strong analytical and data-wrangling skills.
• Hands-on experience in the Microsoft Azure ecosystem (Power BI, Fabric/Databricks, Synapse, Data Factory).
• Familiarity with Azure AI/ML components is a plus.
• Good understanding of data governance, quality, and CI/CD for data pipelines.
• Excellent communication and stakeholder management skills.

Responsibilities

• Analyze and ingest data from multiple sources, transform and model it to deliver insights and data products.
• Design and maintain dashboards and reports using Power BI and Fabric/Power Platform components.
• Work with cloud data engineering patterns, semantic/dimensional modelling and robust schema design.
• Monitor customer journeys and digital performance to identify optimization opportunities.
• Deliver ad-hoc analysis and performance deep-dives for Product, Marketing and other stakeholders.
• Communicate findings through reports and presentations; collaborate with cross-functional teams to implement data-driven solutions.

Skills

Data analysis

Analytical skills

Azure ecosystem

CI/CD for data pipelines

Stakeholder management

Tools

Power BI

Azure Synapse

Azure Data Factory

Databricks

Microsoft Fabric

Job description

Data Analyst | Global Conglomerate | AI, Data, and Cloud

TechForce is a leading technology consulting firm across the Asia‑Pacific, deploying business analysts, project managers and domain experts to enterprise‑grade, data‑driven initiatives. We partner with multinational clients across industries — including banking, insurance, retail and more — to deliver data transformation, integration, modelling and analytics that power business decisions and digital products.

We are hiring Data Analysts to support local and regional digital teams by turning data into actionable insights and reliable data products (dashboards, reports, semantic layers). You’ll bring and expand your expertise in the Microsoft Azure ecosystem — including Azure AI, Power Platform, Databricks/Fabric — and work with foundational engineering patterns such as lakehouse and medallion architectures, semantic and dimensional modelling, and robust schema design. This role suits an analytically minded professional with hands‑on experience in cloud data platforms, data modelling and delivering organization‑level analytics that enable data‑driven decisions.
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Responsibilities

Analyze and ingest data from multiple sources, transform and model it to deliver actionable business insights and reliable data products (dashboards, reports, semantic layers).

Design and maintain dashboards and reports using Power BI and Microsoft Fabric/Power Platform components.

Work with cloud data engineering patterns (lakehouse, medallion architecture), semantic/dimensional modelling and robust schema design to support organization‑wide analytics.

Monitor customer journeys, and digital performance trends to identify optimization opportunities and translate findings into clear recommendations.

Deliver ad‑hoc analysis and performance deep‑dives for Product, Marketing and other business stakeholders.

Communicate findings through reports, presentations and documentation; partner with cross‑functional and cross‑departmental teams (product, engineering, marketing, operations) to implement data‑driven solutions.

Requirements

3–5 years’ experience in Data Analysis or similar; candidates with 5+ years may be considered for a senior graded position.

Strong analytical and data‑wrangling skills.

Hands‑on experience in the Microsoft Azure ecosystem(Power BI, Microsoft Fabric/Databricks, Azure Synapse Analytics, Azure Data Factory/ETL...)

Familiarity with Azure AI/ML components is a strong plus.

Good understanding of data governance, quality, and CI/CD for data pipelines.

Excellent communication and stakeholder management skills with the ability to present insights and recommendations clearly to technical and non‑technical audiences.