数据分析师/PowerBI工程师
Data Analyst/PowerBI Engineer
ProArch 正在寻找一位有才华的数据分析师/Power BI 工程师，该职位将在分析数据并为客户提供可操作的洞察方面发挥关键作用。在此职位中，您将利用在 Power BI 和数据分析技术方面的专业知识，将复杂的数据转化为清晰且具有说服力的可视化图表和报告。您将与利益相关者紧密合作，了解他们的分析需求，并提供支持明智决策的解决方案。
主要职责：
- 使用 Power BI 和 Fabric 工作区设计、开发和维护交互式仪表盘和报告
- 进行数据分析以识别趋势、模式和洞察，从而指导业务策略
- 与跨职能团队合作，收集需求并交付数据驱动的解决方案
- 通过实施质量控制流程确保数据的准确性和完整性
- 通过有效的叙事方式向利益相关者展示发现和建议
- 跟踪数据分析和 Power BI 领域的行业趋势和最佳实践
要求
要成功胜任此职位，您应具备：
- 相关领域的学士学位（例如：数据科学、计算机科学、统计学）
- 在数据分析和可视化方面有实际经验，重点在 Power BI
- 熟练掌握 SQL 用于数据查询和操作
- 具有数据建模和 ETL 流程的经验
- 出色的分析和解决问题的能力
- 能够向技术和非技术人员清晰地传达复杂的数据洞察
- 熟练使用 Microsoft Excel 和其他数据分析工具
- 主动的心态，注重持续改进和学习
福利
NA
最初发布于 Himalayas
查看英文原文
ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage your expertise in Power BI and data analysis techniques to transform complex data into clear and compelling visualizations and reports. You'll work closely with stakeholders to understand their analytics needs and provide solutions that support informed decision-making.
Key Responsibilities:
- Design, develop, and maintain interactive dashboards and reports using Power BI and Fabric workspaces
- Conduct data analysis to identify trends, patterns, and insights that inform business strategies
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions
- Ensure data accuracy and integrity by implementing quality control processes
- Assist in presenting findings and recommendations to stakeholders through effective storytelling
- Stay current with industry trends and best practices in data analytics and Power BI
Requirements
To be successful in this role, you should have:
- Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics)
- Proven experience in data analysis and visualization, with a strong focus on Power BI
- Strong knowledge of SQL for data querying and manipulation
- Experience with data modeling and ETL processes
- Excellent analytical and problem-solving skills
- Ability to communicate complex data insights clearly to both technical and non-technical audiences
- Proficiency in Microsoft Excel and other data analysis tools
- A proactive mindset with a focus on continuous improvement and learning
Benefits
NA
Originally posted on Himalayas