Data Analyst

职位概述：
我们正在寻找一位高度积极的数据分析师，该职位将在提取、分析和报告数据方面发挥关键作用，以推动重要的业务决策。此职位涉及识别趋势，通过自动化提高效率，并提供清晰、可操作的见解。理想的候选人能够将复杂的数据关系传达给不同的利益相关者，并与各部门协作。您还将开发自动化流程以处理重复性任务，确保数据处理的效率和准确性。有 OKR 任务管理系统的经验将是一个优势，使您能够将数据见解与业务目标对齐。

主要职责：

• 数据管理与分析： 使用 Excel 管理和处理大型数据集，进行数据清理，并确保数据质量。
• 数据提取与报告更新： 从各种来源提取数据，包括数据库，并定期更新报告，以反映最新和最准确的见解。
• 报告生成： 在 Excel 中创建并自动生成综合报告，以总结关键业务指标和趋势。
• 数据提取： 使用 SQL 从数据仓库中提取和分析数据，以支持各种业务功能和报告。
• 仪表板创建： 设计和维护 Power BI 交互式仪表板，以可视化数据并向利益相关者提供见解。
• 自动化： 使用 Python 或其他相关工具创建并实施自动化解决方案，以处理重复性任务。
• 逻辑与分析思维： 运用强大的逻辑与分析思维理解并处理复杂的数据关系，确保见解的准确性和可靠性。
• 问题解决与优化： 运用创造性和批判性思维识别现有流程中的趋势、异常和改进机会。
• 协作： 与跨职能团队密切合作，了解数据需求，并基于分析提供可行的建议。
• 利益相关者沟通： 向技术和非技术利益相关者清晰有效地展示数据见解、报告和建议。
• 持续学习： 关注行业趋势和分析工具的进展，持续提升技术和软技能。

技能与资格：

• Excel： 高级技能，熟练使用公式、数据透视表和数据可视化。
• SQL： 基本到中级的 SQL 查询编写知识，进行数据提取和分析。
• Power BI： 有数据可视化和创建交互式仪表板的经验（优先考虑）。
• Python： 熟悉使用 Python 自动化数据处理（优先考虑）。
• OKR 任务管理： 熟悉 OKR 框架，以便将数据任务与业务目标对齐（优先考虑）。
• 经验： 至少 2 年数据分析或相关领域的工作经验。

Job Overview:

We are seeking a highly motivated Data Analyst who will play a key role in extracting, analyzing, and reporting data to drive key business decisions. This position involves identifying trends, improving efficiency through automation, and providing clear, actionable insights. The ideal candidate will be able to communicate complex data relationships to diverse stakeholders and collaborate across departments. You will also develop automated processes for repetitive tasks, ensuring efficiency and accuracy in data handling. Experience with OKR task management systems is advantageous, enabling you to align data insights with business goals.

Key Responsibilities:

• Data Management & Analysis: Use Excel to manage and manipulate large datasets, perform data cleaning, and ensure data quality.
• Data Extraction & Report Updates: Extract data from various sources, including databases, and update reports regularly to reflect the most accurate and up-to-date insights.
• Report Generation: Create and automate comprehensive reports in Excel to summarize key business metrics and trends.
• Data Extraction: Extract and analyze data from the data warehouse using SQL to support various business functions and reports.
• Dashboard Creation: Design and maintain interactive dashboards in Power BI to visualize data and provide insights to stakeholders.
• Automation: Create and implement automated solutions for repetitive tasks using Python or other relevant tools.
• Logical & Analytical Thinking: Apply strong logical and analytical thinking to understand and handle complex data relationships, ensuring the accuracy and reliability of insights.
• Problem Solving & Optimization: Use creative and critical thinking to identify trends, anomalies, and opportunities for improvement in existing processes.
• Collaboration: Work closely with cross-functional teams to understand data needs and provide actionable recommendations based on analysis.
• Stakeholder Communication: Present data insights, reports, and recommendations clearly and effectively to both technical and non-technical stakeholders.
• Continuous Learning: Stay up to date with industry trends and advancements in analytics tools, continuously enhancing both technical and soft skills.

Skills & Qualifications:

• Excel: Advanced proficiency with formulas, pivot tables, and data visualization.
• SQL: Basic to intermediate knowledge in writing SQL queries for data extraction and analysis.
• Power BI: Experience with data visualization and creating interactive dashboards (preferred).
• Python: Familiarity with automating data processes using Python (preferred).
• OKR Task Management: Familiarity with OKR frameworks for aligning data tasks with business objectives (preferred).
• Experience: At least 2 years of experience in a data analysis role or a related field.
• We are seeking candidates proficient in Mandarin to better serve our Mandarin-speaking customers.