- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 3周前
- 工作模式
- 在办公室
- 学历
- 学士学位
- 恢复
- 需要申请
你的工作地点
职位描述
Role overview
In this position, you will turn raw business data into practical insights that help guide strategic and day-to-day decisions. The role focuses on building and supporting reporting, analytics, and data visualization tools that give teams a clear view of performance and outcomes.
Key responsibilities
You will work with information from several sources, examine it for trends and patterns, and highlight areas where the business can improve. A major part of the job involves creating and maintaining dashboards, reports, scorecards, and other BI outputs that make important metrics easy to understand. You will also partner with teams across the business to gather requirements, shape reporting solutions, and deliver insights that improve efficiency, profitability, and overall performance.
Data quality and improvement
Maintaining accurate, consistent, and reliable data is essential in this role. You will also contribute to ongoing enhancements in reporting workflows, analytics methods, and BI capabilities to strengthen decision-making support across the organization.
Qualifications and skills
The ideal candidate has a bachelor’s degree in a relevant area such as Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or Business Administration. You should bring strong analytical thinking, problem-solving ability, and close attention to detail, along with hands-on experience or familiarity in data analysis, dashboard creation, reporting tools, and data visualization. Knowledge of SQL, databases, data modeling, BI concepts, and performance measurement is a plus. Strong communication and presentation skills are important, especially the ability to explain complex findings to both technical and non-technical audiences. Good organization, time management, and the ability to manage several priorities and deadlines are also required. Additional value comes from exposure to data warehousing, BI frameworks, forecasting, data governance, process improvement, and decision-support systems.