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Data Analyst/Data Engineer/Senior Data Analyst/Senior Data Engineer

A Start Personnel Limited

  • Company Industries:Others

Job Information

  • Post Date:2022-07-02
  • Location:Tsuen Wan Area
  • Employment Type:Full Time
  • Job Function:Professional Services  Business Analysis / Data Analysis  Information Technology (IT)  Product Man
  • Benefits:Double pay, Five-day work week

Job Description

Data Analyst/Data Engineer
(Location: Tsuen Wan/Salary: 23-30k/5 days)

Requirements:
- Higher Diploma/Degree holder
- 2-4 years data analyst exp 
- Exp in Trading/Manufacturing Industry exp is preferable 
Required knowledge in: Excel, SQL (MS SQL Server & PostgreSQL), Tableau
- Additional knowledge in: Python, Ms Dynamic (ERP), ETL tools, preferred
- Good spoken & written English & Mandarin & Cantonese 

Responsibilities: 
Responsible for the managing, structuring and planning the company’s master data set(s)
Gathering & understanding of business & user requirements, advise and design the execution plan for business intelligence projects
Build up and support the reporting environment, including any Business Intelligence dashboards and platforms
Interpret data sets for quantitative analysis and data-driven decisions
Analyze business problem by assembling related data and present findings and suggestions for the stakeholders
Supporting the data warehouse in identifying and revising reporting requirements, as well as developing and modifying ETL process and data-pipeline as required
Provide maintenance and support, evaluate potential upgrade opinions for existing applications. Contribute in setting up training material / meetings for end-users on new reports and dashboards



Senior Data Analyst/Senior Data Engineer 
(Location: Tsuen Wan/Salary: 33-38k/5 days)

Requirements:
- Degree in Data Science, Computer Science or above
- 4+ years data analyst/data engineer exp
- Exp in Trading/Manufacturing Industry exp is preferable 
Good knowledge of Report Visualization, Data Analysis, Cloud Server and local System Integration
Experience in building and optimizing data pipelines and architectures that involved both online and offline data sets
Experience with relational SQL and NoSQL databases, including Postgres, MongoDB and MS SQL Server
- Exp with Python and/or JavaScript is an advantage
- Exp in BI / Reporting tools (Tableau preferred, but not must)
- Exp in Server Migration Preferred 
- Exp with Microsoft Dynamics Preferable 

Responsibilities:
Create and maintain the data pipeline architecture
Assemble data warehouses and conduct quantitative analysis that meet functional / non-functional business requirements
Build the infrastructure required for data extraction, mining, transformation and automation from various data sources
Set-up, test and optimize business intelligence tools, analytics software and database servers to maximize the functionality of the current data systems
Lead on data transformation strategy aligned with the company’s business objectives
Work with stakeholders including the Executive, Product and Tech teams to assist with data-related technical issues and support their data infrastructure needs

Company Info

Please send your resume to [email protected]

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