全职 Data Analyst 工作, 薪水, OneDegree Hong Kong Limited Kowloon Peninsula, Hong Kong 公司招聘中 - Ricebowl

What you will be doing: 

 Data Analysis & Insights

• Analyze large, complex datasets to identify trends, opportunities and business risks

• Translate data into clear insights and actionable recommendations for stakeholders

• Support decision-making through ad-hoc analysis and deep dives

Product & Growth Analytics

• Partner with Product Managers to define metrics, track performance, and measure success

• Design and evaluate experiments (A/B testing) to optimize product and marketing initiatives

• Support OKR setting and performance tracking with data-driven insights

Data Visualization & Reporting

• Build, maintain, and improve dashboards and reports

• Develop scalable reporting frameworks to support business functions

• Ensure data accuracy, consistency and reliability in reporting

Data Management & Collaboration

• Work with Data Engineering and Tech teams to define data requirements and improve data pipelines

• Identify gaps in data collection and tracking then recommend improvements

• Collaborate cross-functionally to promote a strong data-driven culture

Data Governance

• Ensure proper metric definitions and consistency across teams

• Contribute to improving data literacy and best practices

Market & Business Intelligence

• Conduct market, competitor and customer analysis to support strategy

• Generate insights into industry trends and customer behaviour

What we are looking for:

• 3+ years of experience in Data Analytics, Product Analytics or related fields

•  Strong hands-on experience with: SQL, Golang

• Data visualization tools (Tableau, Power BI, Looker[JL1]  & Metabase)[JL2] 

• Experience working with product metrics (funnels, cohorts, retention, etc.)

• Familiarity with experimentation frameworks (A/B testing)

• Strong problem-solving skills and ability to work with ambiguous data

• Ability to structure complex problems and derive actionable insights

• Self-driven, proactive and comfortable in a fast-paced, agile and evolving startup environment.

• Strong stakeholder management and communication skills

• Curious mindset with a passion for learning and continuous improvement

Nice to Have

• Experience in InsurTech, FinTech, or digital product environments

• Knowledge of data warehousing concepts (e.g. Snowflake, BigQuery)

• Experience with tracking tools (e.g. GA4, Mixpanel, Amplitude & Braze)[JL3] 

• Experience with modern data stack tools, including:

1. dbt (data modeling and transformation)

2. Airflow or similar workflow orchestration tools

3. ELT tools such as Airbyte, Meltano, or equivalent

• Basic understanding of data engineering concepts and data pipeline