· Engage with stakeholders to elicit, document, and prioritize business requirements for Power BI reports and analyses.
This involves documenting requirements in a clear and concise manner.
· Utilize Power BI to design, develop, and enhance interactive dashboards that provide actionable insights to stakeholders.
This involves understanding stakeholder requirements, selecting appropriate data visualizations, and ensuring the dashboard is user-friendly and aligned with business objectives.
For example, creating a dashboard to track Daily Active Users (DAU), Gross Merchandise Volume (GMV), and other key performance indicators (KPIs) to facilitate real-time decision-making.
· Conduct in-depth analysis of various datasets using Power BI to uncover trends, correlations, and outliers.
Translate complex data into meaningful insights and visualizations that support business decision-making.
· Serve as a bridge between business stakeholders and technical teams, facilitating effective communication and collaboration throughout the project lifecycle.
This includes conducting regular status meetings, presenting findings and recommendations to stakeholders, and soliciting feedback to ensure alignment with business goals.
· Ensure data integrity, accuracy, and consistency within Power BI solutions by establishing data governance standards and conducting regular data quality checks.
This involves validating data sources, implementing data cleansing and transformation processes, and documenting data lineage and dependencies.
· Stay updated on latest trends and best practices in Power BI and business analysis, and proactively seek opportunities for skills development and process improvement.

系统翻译：
· 与利益相关者合作，获取、记录 Power BI 报告和分析的业务需求并确定其优先级。
这涉及以清晰、简洁的方式记录需求。
· 利用 Power BI 设计、开发和增强交互式仪表板为利益相关者提供可行的见解。
这涉及了解利益相关者的要求、选择适当的数据可视化以及确保仪表板用户友好且与业务目标保持一致。
例如，创建仪表板来跟踪每日活跃用户（ DAU)、商品销售总额 (GMV) 和其他关键绩效指标 (KPI)，以促进实时决策。
· 使用 Power BI 对各种数据集进行深入分析，以发现趋势、相关性和异常值.
将复杂的数据转化为有意义的见解和可视化，以支持业务决策。
· 作为业务利益相关者和技术团队之间的桥梁，促进整个项目生命周期中的有效沟通和协作。
这包括进行定期状态会议，向利益相关者展示调查结果和建议，并征求反馈以确保与业务目标保持一致。
· 通过建立数据治理标准和定期进行数据质量检查，确保 Power BI 解决方案中的数据完整性、准确性和一致性。
这涉及验证数据源、实施数据清理和转换流程，以及记录数据沿袭和依赖关系。
· 随时了解 Power BI 和业务分析的最新趋势和最佳实践，并主动寻求技能开发和流程的机会改进。