数据分析师 | 海外
Data Analyst | Offshore
职位描述 – 数据分析师
我们正在寻找一名数据分析师，负责收集、分析和解释数据，以支持业务和运营决策。该职位涉及处理大型数据集，开发仪表板和报告，并将数据转化为可操作的见解。
主要职责
· 分析和解释结构化和非结构化数据，以识别趋势、模式和业务洞察。
- 使用 Power BI、Tableau 或类似工具开发和维护仪表板、报告和数据可视化。
- 编写高效的 SQL 查询，用于数据提取、转换和分析。
- 执行数据清洗、验证、对账和质量检查。
- 与业务和技术团队合作，理解需求并将其转化为分析解决方案。
- 定义和跟踪 KPI 和指标，以支持业务绩效分析。
- 以清晰简洁的方式向利益相关者呈现发现和建议。
- 支持数据驱动的流程改进和临时分析请求。
所需资格
· 计算机科学、统计学、数学、数据科学、商业分析或相关领域的学士学位。
- 3 年以上数据分析或商业智能相关工作经验。
- 精通 SQL 和数据处理。
- 具有 Excel 和 BI/可视化工具（如 Power BI 或 Tableau）的经验。
- 强大的分析、解决问题和沟通能力。
- 具有关系型数据库和大型数据集的工作经验。
优先考虑的技能
· 具有使用 Python 进行数据分析和自动化的经验。
- 了解 ETL/数据管道和数据仓库概念。
- 熟悉云数据平台，如 AWS、Azure 或 GCP。
- 了解统计分析、预测或机器学习概念。
- 具有在敏捷环境中工作的经验。
最初发布于 Himalayas
查看英文原文
Job Description – Data Analyst Position OverviewWe are looking for a Data Analyst to collect, analyze, and interpret data to support business and operational decision-making. The role involves working with large datasets, developing dashboards and reports, and translating data into actionable insights.
Key Responsibilities
· Analyze and interpret structured and unstructured data to identify trends, patterns, and business insights.
- Develop and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
- Write efficient SQL queries for data extraction, transformation, and analysis.
- Perform data cleansing, validation, reconciliation, and quality checks.
- Collaborate with business and technical teams to understand requirements and translate them into analytical solutions.
- Define and track KPIs and metrics to support business performance analysis.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Support data-driven process improvements and ad-hoc analytical requests.
Required Qualifications
· Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics, or a related field.
- 3+ years of experience in data analysis or business intelligence.
- Strong proficiency in SQL and data manipulation.
- Experience with Excel and BI/visualization tools such as Power BI or Tableau.
- Strong analytical, problem-solving, and communication skills.
- Experience working with relational databases and large datasets.
Preferred Skills
· Experience with Python for data analysis and automation.
- Knowledge of ETL/data pipelines and data warehousing concepts.
- Familiarity with cloud data platforms such as AWS, Azure, or GCP.
- Exposure to statistical analysis, forecasting, or machine learning concepts.
- Experience working in Agile environments.
Originally posted on Himalayas