高级分析师 - 位置主数据数字化
Senior Analyst - Location Master Data Digital
作为高级分析师，负责地点主数据与层级管理，您将负责确保企业范围内多个系统和业务功能中地点主数据的准确性、完整性、治理和标准化。您将成为地点数据、地理层级、组织结构和主数据管理（MDM）原则的专家，以支持运营效率、报告准确性和战略决策。
您将深入了解地点数据来源、数据关系、层级结构和业务流程，同时推动整个组织的数据质量计划。此外，您将利用分析、根本原因和数据可视化技术，识别趋势，改进数据治理，并提供可操作的业务洞察。
职责：
- 执行与数据收集、汇总、整合、维护和分发相关的功能，确保主数据的完整性。
- 监督数据和性能，同时确保有适当的流程来维护数据完整性。
- 建立并维护对跨多个数据源的数据流、来源和数据转换的理解。
- 定义、开发并衡量数据质量分析和关键绩效指标（KPI）。
- 有效分析通过根本原因分析识别出的风险的概率和影响，并有效实施缓解策略。
- 协调数据质量实践的开发和培训。
- 管理、清理并促进行业内的客户和供应商信息。
- 文档化、监控并改进与职责范围相关的流程和控制。
资格：
- 需要学士学位/硕士优先——商业、信息系统、计算机科学或同等经验
- 5年以上数据分析相关工作经验
- 强大的分析背景
- 理解数据、数据流以及数据如何在供应链环境中支持各种业务流程
- 理解数据质量和数据风险管理，包括对标准、方法、流程、工具和控制的理解
- 自驱型人才，能够主动发现新问题并开发解决方案，同时具备强烈的责任感
- 分析能力强，数据驱动，擅长通过数据和分析推动业务决策
- 能够独立工作，具备自我驱动力
查看英文原文
As a Senior Analyst, Location Master Data & Hierarchy Management, you will be responsible for ensuring the accuracy, integrity, governance, and standardization of enterprise location master data across multiple systems and business functions. You will serve as a subject matter expert in location data, geographic hierarchies, organizational structures, and Master Data Management (MDM) principles to support operational efficiency, reporting accuracy, and strategic decision-making.
You will develop a deep understanding of location data sources, data relationships, hierarchy structures, and business processes while driving data quality initiatives across the organization. In addition, you will leverage analytical, root cause, and data visualization techniques to identify trends, improve data governance, and deliver actionable business insights.
Responsibilities:
- Perform functions related to the collection, aggregation, consolidation, maintenance, and distribution of data and ensure the integrity of the master data.
- Provide oversight of data and performance, while ensuring the proper procedures are in place for maintaining data integrity.
- Build and maintain an understanding of data flows, sources, and data transformations across multiple data sources.
- Define, develop and measure data quality analytics and key performance indicators (KPIs).
- Effectively analyze the probability and impact of risks identified through root cause analysis and effectively implement mitigation strategies.
- Coordinate development and training of data quality practices.
- Manage, cleanse and facilitate customer and supplier information within the industry.
- Document, monitor, and improve processes and controls related to areas of responsibility.
Qualifications:
- Bachelor’s Degree required/Masters’ Degree preferred- Business, Information Systems, Computer Science or equivalent experience
- 5+ years of experience in a Data Analytics role.
- Strong analytical background.
- Understanding of data, data flows and how data supports various business processes in a supply chain environment.
- Understanding of data quality and data risk management, including understanding of standards, methods, processes, tools, and controls.
- Self-starter with the ability to seek out new problems and develop solutions, while having strong sense of ownership.
- Analytical and data-driven with a knack for driving business decisions through data and analytics.
- Self-sufficient and motivated to obtain the skills or knowledge necessary to accomplish complex tasks.
- Excellent organizational and time management skills with the ability to juggle multiple priorities.
- Ability to conduct root cause analysis and communicate recommendation to resolve, switch quickly between details and the big picture.
- Ability to travel 25-50% of the time
Originally posted on Himalayas