15 часов назад
Consultant - Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Consultant - Analytics Engineer (SQL/Cloud/BI): Turning raw client data into reliable data products, analytical models, dashboards, and automated pipelines with an accent on dimensional modelling, data governance, and scalable cloud-based solutions. Focus on designing ETL/ELT workflows, industrialising analytics products, supporting business users, and delivering projects from diagnosis through production rollout.
Location: Wan Chai, Hong Kong
Company
Partners is a consulting firm delivering strategy, digital transformation, data science, and AI solutions across multiple sectors.
What you will do
- Gather business needs and design suitable analytics tools, data models, workflows, dashboards, APIs, and exports.
- Build robust and scalable dimensional data models.
- Develop and optimise ETL/ELT pipelines between data sources and analytics platforms.
- Industrialise data products by ensuring maintainability, documentation, adoption, and reliable performance.
- Implement data governance practices covering quality, traceability, and monitoring.
- Support users, contribute to internal training and R&D, and participate in client delivery from diagnosis through production rollout and change management.
Requirements
- Master’s degree from an engineering or business school, with a specialisation in data science, statistics, or marketing.
- 1–3 years of experience in a similar role or in the data field.
- Advanced SQL and data transformation skills, with strong dimensional modelling and schema design experience.
- Experience with at least one cloud environment: AWS, GCP, or Azure.
- Experience with BI tools such as Power BI, Tableau, or Looker, plus Git, CI/CD, and analytics testing.
- Fluent English is essential. Business proficiency in Mandarin or Cantonese is advantageous.
Nice to have
- Knowledge of Terraform, Snowflake, Redshift, dbt, or Airflow.
- Understanding of business challenges and the ability to explain complex topics clearly.
- Interest in marketing, finance, logistics, energy, transport, industry, or CSR.
Culture & Benefits
- Work on high-impact engagements across financial services, luxury, transport, retail, consumer, and other sectors.
- Access data training courses and certifications.
- Participate in cross-sector projects and internal R&D initiatives, including environmental transition and generative AI topics.
- Work in a professional environment focused on excellence, entrepreneurship, innovation, knowledge sharing, care, and work–life balance.
- Join a company committed to the climate transition.
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