- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 2小时前
- 工作模式
- 在办公室
- 学历
- Bachelor’s degree or above
- 合格
- Candidates with a bachelor’s degree or higher in a relevant quantitative, business, or technical field and a willingness to learn and collaborate can apply. This opportunity is especially suitable for proactive, growth-minded individuals interested in data and business improvement.
- 恢复
- 需要申请
你的工作地点
职位描述
Role overview
We are looking for an entry-level data professional who is organized, analytical, and careful with details. In this role, you will help collect, prepare, review, and interpret data so teams can make better decisions based on reliable information.
What you will do
- Gather information from multiple sources and ensure it is organized correctly.
- Clean, check, and validate datasets to keep records accurate and dependable.
- Build reports and dashboards that present data in a clear and useful way.
- Carry out basic data analysis to spot trends, patterns, and improvement opportunities.
- Support senior analysts and business teams by delivering trustworthy insights.
- Maintain clear documentation of analysis steps, processes, and reporting methods.
- Help with data quality checks, automated reporting, and performance tracking.
- Assist in improving data workflows and analytical processes.
What we are looking for
You should bring strong analytical thinking, curiosity, and a structured approach to handling large volumes of information. Attention to detail and the ability to work accurately under deadlines are important for success in this position.
Qualifications
- A bachelor’s degree or higher in Data Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or a related discipline.
- Foundational knowledge of data analysis, reporting practices, and visualization techniques.
- Hands-on experience with Excel, spreadsheets, databases, or similar data tools.
- Exposure to SQL, querying, and data management concepts is preferred.
- Experience with Power BI, Tableau, or comparable visualization tools is an added advantage.
- Excellent attention to detail and the ability to catch inconsistencies or errors in data.
- Strong logical thinking, troubleshooting ability, and problem-solving skills.
- Good time management, prioritization, and deadline-handling skills.
- Comfort working with cross-functional teams and contributing collaboratively.
- Willingness to learn new technologies, tools, and analytical methods.
- A proactive mindset and interest in using data to improve business outcomes.
Additional information
This role is suited to someone who enjoys working with information, solving practical problems, and supporting business improvements through data-driven insights.