全职 Business Strategy Analyst 工作, 薪水 up to SGD 10,000, TANBURY CONSULTING PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Key Responsibilities

1. Business Strategy and Insights

Analyse business performance to identify opportunities to improve transaction matching efficiency, pricing strategies, and overall operational effectiveness.

Identify business challenges and growth opportunities through data analysis and business insights.

Develop actionable recommendations and work with relevant teams to implement strategic and product improvements that support business objectives.

2. Experimentation and Analytical Efficiency

Design appropriate experiments and establish measurement frameworks and key performance indicators (KPIs) to evaluate the effectiveness of different optimisation strategies.

Continuously improve experimental design, analytical methodologies, and data analysis tools to enhance the reliability of results and accelerate strategy iteration.

3. Cross-functional Collaboration

Collaborate closely with the Algorithm, Operations, and Product teams to identify business improvement opportunities and implement data-driven solutions.

Coordinate resources and facilitate effective cross-functional collaboration to improve execution efficiency and business outcomes.

Requirements

1. Education and Experience

Bachelor's degree or above in Mathematics, Statistics, Computer Science, or a related discipline.

At least one year of relevant work experience, including experience in the internet or logistics industry.

Experience in transaction matching, marketplace platforms, or logistics matching scenarios would be an advantage.

2. Business Acumen and Analytical Thinking

Strong ability to understand user needs, analyse business data, identify opportunities for improvement, and translate insights into actionable strategies.

Demonstrated ability to develop practical solutions and support their implementation to achieve business objectives.

3. Data Analytics Skills

Proficient in SQL, with working knowledge of Python and relevant data analytics tools.

Experience in data analysis, with strong data interpretation skills and the ability to identify meaningful trends and insights.

4. Communication and Collaboration

Strong logical thinking, communication, and cross-functional coordination skills.

Good learning agility and documentation and report-writing skills.

Proactive, self-motivated, and results-oriented, with the ability to work effectively with different teams.