业务分析师
Business Analyst
Hobbs Madison 是一家专注于弥合商业战略与技术执行之间差距的领先咨询公司。我们结合深厚的技术和管理专长,解决复杂挑战、提升能力并推动竞争性增长。我们的客户包括美国一些最大的银行、保险和投资公司。
我们正在寻找一位在金融服务行业拥有强大数据管理经验的业务分析师。该职位将有机会为大型金融机构参与复杂的企业级数据项目,初期重点是客户及实体主数据管理(MDM)。
你将与客户的业务和技术团队紧密合作,识别业务用例,并制定客户数据在组织中如何被治理、管理及分发的功能蓝图。你将把业务需求转化为功能要求,记录现状和未来状态流程,并帮助定义支持企业MDM项目的数据治理、质量和管理模型。
这是一份远程全职职位,可能需要部分出差。
主要职责
- 与客户利益相关者合作,识别并记录优先级的客户及实体MDM业务用例、业务收益、成功标准和KPI。
- 领导与业务用户、主题专家、数据所有者和技术团队的访谈和工作坊,收集并转化业务需求为功能要求。
- 分析现状业务流程和数据环境,定义客户主数据的未来状态需求。
- 制定功能MDM蓝图,说明客户数据将如何在企业内被治理、管理、维护和分发。
- 创建现状和未来状态的数据流图和源到用户的清单,记录客户数据在各业务职能和系统间如何流动。
- 定义数据质量的业务需求,包括质量规则、控制、监控、修复流程和可审计性。
- 记录实体解析、匹配、生存者选择及相关流程的业务需求,用于建立可信的客户记录。
- 协助定义目标状态的数据治理模型,包括数据所有权、管理责任、决策权和问题管理流程。
- 支持MDM实施路线图的开发,确定优先级和依赖关系
查看英文原文
Hobbs Madison is a leading consulting firm focused on bridging the gap between business strategy and technology execution. We combine deep technical and management expertise to solve complex challenges, improve capabilities, and drive competitive growth. Our clients include some of the largest banking, insurance and investment firms in the U.S.
We are looking for a Business Analyst with strong data management experience in the financial services industry. This position offers the opportunity to work on complex enterprise data initiatives for large financial institutions, with an initial focus on Customer and Party Master Data Management (MDM).
You will partner closely with our clients’ business and technical teams to identify business use cases and develop the functional blueprint for how customer data is governed, mastered, and distributed across the organization. You will translate business needs into functional requirements, document current and future-state processes, and help define data governance, quality, and stewardship models that support enterprise MDM initiatives.
This is a Remote, Full-Time position with the possibility of some travel.
Key Responsibilities
- Partner with client stakeholders to identify and document prioritized Customer and Party MDM business use cases, business benefits, success criteria, and KPIs.
- Lead interviews and working sessions with business users, subject matter experts, data owners, and technical teams to gather and translate business needs into functional requirements.
- Analyze current-state business processes and data environments to define future-state requirements for customer master data.
- Develop functional MDM blueprints outlining how customer data will be governed, mastered, maintained, and distributed across the enterprise.
- Create current-state and future-state data flow maps and source-to-user inventories to document how customer data moves across business functions and systems.
- Define business requirements for data quality, including quality rules, controls, monitoring, remediation workflows, and auditability.
- Document business requirements for entity resolution, matching, survivorship, and related processes used to establish trusted customer records.
- Help define target-state data governance models, including data ownership, stewardship responsibilities, decision rights, and issue management workflows.
- Support the development of MDM implementation roadmaps, priorities, dependencies, and mobilization plans.
- Prepare business requirements, process flows, functional documentation, presentations, and recommendations for client teams and leadership.
About You
· You have 5+ years of Business Analyst experience, preferably supporting data management, MDM, data governance, or enterprise data initiatives.
- You have experience working directly within financial services or consulting for banking and financial services clients.
- You have strong experience interviewing business stakeholders, identifying business needs, and translating those needs into clear functional requirements and use cases.
- You understand Master Data Management concepts, preferably Customer or Party MDM, and how master data supports business processes across an organization.
- You have experience with current-state and future-state analysis, business process mapping, data flow mapping, and requirements documentation.
- You understand data governance, data stewardship, metadata, lineage, and audit trail concepts.
- You are familiar with data quality frameworks, remediation workflows, entity resolution, matching, and survivorship concepts.
- Experience with AI-based approaches to data quality, entity resolution, record matching, or data disambiguation is highly preferred.
- You communicate effectively with both business and technical stakeholders and are comfortable facilitating client interviews and collaborative working sessions.
- You have a track record of working successfully in a remote consulting environment and managing multiple priorities with limited day-to-day supervision.
- You work effectively within mixed teams of client stakeholders, consultants, technical specialists, and subject matter experts.
- You have strong PowerPoint, Excel, Word, and Visio skills and are comfortable developing client-ready documentation and process flows.
- Experience with Jira and SharePoint is preferred.
Our History
Founded in 2002, Hobbs Madison Inc. is a consulting firm specializing in technology and business solutions for the financial services industry. We partner with leading banks, insurance companies, and investor services firms to maximize existing platforms, implement innovative solutions, and deliver results quickly.
Our senior consultants average 15+ years of industry and technology experience, combining technical expertise, business insight, and clear communication to solve complex challenges. Known for our speed, precision, and collaborative approach, we help clients navigate change, improve capabilities, and strengthen their competitive edge.
Hobbs Madison has established a reputation among its clients as one of the leading Strategy and IT Consultants in the U.S. for the financial services industry.
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Originally posted on Himalayas