Data Analyst
OfferToday·Human Resources Management / Consultancy
Job Title: Data Analyst
Job Responsibilities
- Responsible for collecting, cleaning and integrating structured and unstructured data from multiple systems (such as CRM, ERP, website traffic platform and third-party API), ensuring data quality and consistency.
- Utilize statistical methods and data modeling techniques to deeply mine key indicators and potential trends in business scenarios, support sales strategy, user behavior analysis, and operational efficiency improvement.
- Design and maintain visual dashboards (such as Power BI, Tableau or Looker Studio), regularly produce high-quality management reports and special topic analysis briefs, and clearly communicate analytical insights to various business units.
- Collaborate with product, market and operations teams, participate in requirement clarification and analysis framework construction, and transform ambiguous business problems into executable analysis plans and validate hypotheses.
- Continuously optimize existing analysis processes and automation scripts (such as Python, SQL or R), improve data processing efficiency and analysis iteration speed, and establish reusable analysis templates and document standards.
Work requirements
- Have at least three years of data analysis work experience, familiar with the retail, finance, e-commerce or technology industry, those with a Hong Kong identity or valid work visa are preferred.
- Proficient in SQL for complex queries and performance tuning, with practical skills in Python (Pandas, NumPy, Scikit-learn) or R language, and able to independently complete the end-to-end analysis process from data extraction to model validation.
- Have basic knowledge of statistics, understand the application context and constraints of common analysis methods (such as A/B testing, regression analysis, funnel analysis, RFM model, clustering analysis, etc.).
- Have good business sensitivity and communication skills, be able to explain analysis logic and business impact to non-technical background colleagues in non-technical language, and actively track and follow up the implementation effect of suggestions.
- Have basic database management concepts (such as MySQL, PostgreSQL or cloud data warehouses such as BigQuery, Redshift), understand ETL processes and data governance basic principles as a plus.
Benefits
- Competitive monthly salary and annual performance bonuses, with salary based on experience and skills, negotiated on a case-by-case basis, and at least one comprehensive salary review per year.
- Enjoy statutory holidays, public holidays, paid annual leave (12 days in the first year, increasing up to 18 days based on service years) and sick leave (7 days in the first year, accumulated annually) as prescribed by Hong Kong law.
- Provide a comprehensive medical insurance plan that covers outpatient, inpatient, dental and optometric services, and employees can optionally insure eligible family members.
- Flexible work arrangements, including flexible commuting hours and hybrid office mode (employees can choose up to two remote work days per week) to accommodate personal life rhythms and family needs.
- Provide continuous learning support, including professional certification exam allowances (such as Google Data Analytics, Microsoft Certified: Data Analyst Associate), internal sharing sessions, and subscription data field learning platform permissions.
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Problem Analysis
MCDBA
SQL Server Administration
Cantonese
English
Mandarin
haoran ge
OfferToday·数据分析师
Active within 3 days
Company Overview
OfferToday(https://www.offertoday.com), a new online recruitment platform designed specifically for Hong Kong enterprises.
Our platform aims to connect Hong Kong companies with global talent, offering a comprehensive solution for your recruitment needs.
WONG KWAN & CO LIMITED
Experience in IT fields required
Familiarity with Power BI, SQL, and Advanced Excel
Prior AI project experience preferred
Stellerus Technology Limited
Pursuing degree in Business, Marketing, Software Engineering
Understanding of sales and marketing principles
Excellent written communication, PPT creation skills
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