Data and Reporting Analyst
我们正在寻找一个有着高度动机和经验的个人加入我们的团队作为数据分析师。成功的候选人将在获取数据以回答问题，分析数据趋势，产生见解和支持决策过程中发挥关键作用，以推动业务增长和效率。责任：收集，清洁和分析大型数据集来确定趋势和模式。开发和维护仪表板和报告可视化关键指标。合作与跨职能团队了解数据需求并提供可操作的见解。进行专业分析来支持企业倡议和项目。向利益相关者提出明确和简洁的发现和建议。关键测量：•数据分析和报告的准确性和及时性。每季度生成可操作见解数量。基于数据驱动的推的业务流程改进。用户对仪表板和报告的满意度。为实现业务目标和 KPI 做出贡献。要求最低专业经验： 3年以上数据分析或相关领域的经验。熟练使用 SQL,Python 或 R 等数据分析工具。先进的经验在 Excel 中 使用图像化工具如 Tableau 或 Power BI. 强大的分析和解决问题技能。•优秀的沟通和演示技巧。报告和可视化工具经验： SQL 的熟练度用于查询和操作数据。使用 Python 或 R 进行数据分析和建模的经验。创建交互式仪表板的卓球技术知识。对商业智能报告的 Power BI 的熟悉性。理解 Excel 用于数据组织和基本分析。有益的认证或资格：认证数据分析师 (CDA) 或相等认证。 Tableau 桌面专家或 Tableau 认证数据解析师。微软认证：数据分析师合作伙伴。谷歌数据分析专业证书。• 数据科学，统计学或相关领域的高级学位。最初发布于喜马拉雅山脉
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We are seeking a highly motivated and experienced individual to join our team as a Data Analyst. The successful candidate will play a crucial role in sourcing data to answer questions, analysing data trends, generating insights, and supporting decision-making processes to drive business growth and efficiency.
Responsibilities:
Collect, clean, and analyse large datasets to identify trends and patterns.
Develop and maintain dashboards and reports to visualize key metrics.
Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
Conduct ad-hoc analysis to support business initiatives and projects.
Present findings and recommendations to stakeholders in a clear and concise manner.
Key Measurable:
Accuracy and timeliness of data analysis and reporting.
Number of actionable insights generated per quarter.
Improvement in business processes based on data-driven recommendations.
User satisfaction with dashboards and reports.
Contribution to achieving business goals and KPIs.
Requirements
Minimum Professional Experience:
3+ years of experience in data analysis or a related field.
Proficiency in data analysis tools such as SQL, Python, or R.
Advanced experience in Excel
Experience with data visualization tools like Tableau or Power BI.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Reporting and Visualization Tool Experience:
Proficiency in SQL for data querying and manipulation.
Experience with Python or R for data analysis and modeling.
Advanced knowledge of Tableau for creating interactive dashboards.
Familiarity with Power BI for business intelligence reporting.
Understanding of Excel for data organization and basic analysis.
Beneficial Certifications or Qualifications:
Certified Data Analyst (CDA) or equivalent certification.
Tableau Desktop Specialist or Tableau Certified Data Analyst.
Microsoft Certified: Data Analyst Associate.
Google Data Analytics Professional Certificate.
Advanced degree in Data Science, Statistics, or a related field.
Originally posted on Himalayas