- 经验
- 1-3岁
- 薪水
- —
- 职位空缺
- 1
- 发布
- 2小时前
- 工作模式
- 在办公室
- 学历
- 学士学位
- 恢复
- 需要申请
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职位描述
Role Overview
The Data Analyst (H/F) is tasked with converting complex datasets into straightforward, actionable insights that aid in strategic planning and operational enhancements. This role includes sourcing data from multiple channels, conducting in-depth analyses, and communicating findings with organizational stakeholders. The Data Analyst ensures the accuracy of data, develops reporting instruments, and helps create data-driven strategies. This position suits individuals who excel in analysis, critical thinking, and collaborative problem-solving.
Key Responsibilities
- Gather, clean, and organize data from various systems and databases to maintain high-quality datasets.
- Carry out exploratory and sophisticated data analyses to uncover trends, opportunities, and areas for improvement.
- Develop and sustain dashboards, automated reports, and visualization tools for internal use.
- Work closely with teams such as marketing, operations, finance, and product management to identify analytical requirements.
- Track key performance indicators (KPIs) and provide consistent reporting updates.
- Translate complex analytical outcomes into understandable insights for decision-makers.
- Assist with building forecasting models and analytical methods.
- Document data workflows, standards, and definitions to bolster data governance.
- Perform quality assurance on datasets and recommend enhancements for data integrity.
- Keep abreast of new analytical tools, techniques, and industry best practices.
Qualifications and Requirements
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field.
- Between 1 and 3 years of experience in data analysis, business intelligence, or related analytical positions.
- Proficient in analytical software including SQL, Excel, Python, or R.
- Experience with data visualization platforms such as Tableau, Power BI, or similar tools.
- Solid understanding of analytical techniques, statistics, and data modeling concepts.
- Exceptional attention to detail and strong organizational and problem-solving skills.
- Ability to clearly explain analytical results to both technical specialists and non-technical stakeholders.
- Capable of handling multiple priorities and deadlines in a fast-paced environment.
- Excellent team player with strong interpersonal skills for collaboration across departments.
- Proactive approach with eagerness to learn, optimize processes, and support a data-driven organizational culture.
Summary
The Data Analyst (H/F) is critical in facilitating data-backed decision-making throughout the company. Through thorough data analysis, insight development, and collaboration with key stakeholders, this role promotes operational growth, efficiency, and strategic focus. It is tailored for analytical, detail-oriented candidates dedicated to providing precise and meaningful insights.