Business Strategy Analyst
Must-have:Python
Your tasks
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.