My client is a technology start-up in Hong Kong, driven to revolutionize the landscape of university admissions through the application of advanced technology and data-driven strategies. They are providing strudents with the tools and resources they need to make informed decisions and discover their ideal academic paths. My client is looking for a first Data Analyst. You will play a crucial role in analyzing and interpreting large datasets to derive valuable insights that will drive our strategic decision-making process. You will work closely with cross-functional teams to uncover patterns, trends, and opportunities for business.
Responsibilities:
- Develop and implement data collection systems and strategies to optimize data quality and accuracy.
- Analyze complex datasets using statistical techniques and provide actionable insights to support business objectives.
- Identify trends, patterns, and correlations in data to drive key business decisions and strategies.
- Collaborate with cross-functional teams to define and track key performance indicators (KPIs) and metrics.
- Design and maintain data visualizations and dashboards to effectively communicate findings to stakeholders.
- Conduct ad-hoc data analysis to support business inquiries and research initiatives.
- Stay up-to-date with industry trends and best practices in data analysis and visualization.
Requirements:
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Analyst or in a similar role, preferably in the education or technology industry.
- Proficiency in SQL, Python, or R for data manipulation, analysis, and visualization.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
- Solid understanding of statistical analysis methods and data modeling techniques.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Effective communication skills to present complex findings in a clear and concise manner.
- Ability to work independently and collaboratively in a fast-paced, dynamic startup environment.