高级业务系统分析师
Senior Business Systems Analyst
Ascensus 是美国领先的独立技术和服务平台,为储蓄计划提供支持,提供产品和专业知识,帮助近 1600 万人口为更好的今天和明天储蓄
Section 1: 岗位概述
高级业务系统分析师(数据平台)与业务利益相关者、产品领导、数据架构师和数据工程团队合作,将业务需求转化为清晰、可操作的数据需求。该职位在业务和技术之间架起桥梁,确保企业数据平台成为可信、受控的真相来源。
高级 BSA 在数据模型、集成、管道和消费层中主导数据需求定义,重点关注受监管金融服务环境中的数据定义、指标、血缘关系和可用性。
Section 2: 工作职责、主要任务和责任
- 领导企业数据项目中的数据相关业务需求的获取、分析和文档编写
- 将业务需求转化为明确的数据特定需求,包括数据元素、指标、层次结构、转换和访问模式
- 负责并维护企业数据字典和业务术语表,确保跨团队的一致性和对齐
- 与数据架构师和数据工程紧密合作,确保需求在数据模型、集成和管道中准确反映
- 文档化从源系统到下游消费者的端到端数据流和血缘关系
- 作为业务利益相关者和数据交付团队的主要联络人,解决定义冲突并澄清需求
- 支持待办事项细化和优先级排序,确保开发前需求完整且可操作
- 识别并协助修复数据质量、一致性和访问问题
- 强化数据治理标准、文档实践和批准的访问方法
- 参与设计评审、计划会议和跨职能工作组
- 支持受监管的金融科技和金融服务用例,包括可审计性、安全性和敏感数据处理
- 负责保护、安全和正确处理 Ascensus 所持有的所有机密数据,以防止未经授权的访问、不恰当的传输和/或未经批准的信息披露,这些行为可能导致对 Ascensus 或我们的客户造成损害。
- 在 Ascensus 我们是
查看英文原文
Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.
Section 1: Position Summary
The Senior Business Systems Analyst (Data Platform) partners with business stakeholders, product leadership, data architects, and data engineering teams to translate business needs into clear, actionable data requirements. This role serves as a bridge between business and technology, ensuring the enterprise data platform is a trusted, governed source of truth.
The Senior BSA leads data requirements definition across data models, integrations, pipelines, and consumption layers, with a strong focus on data definitions, metrics, lineage, and usability within a regulated financial services environment.
Section 2: Job Functions, Essential Duties and Responsibilities
- Lead the elicitation, analysis, and documentation of data‑related business requirements for enterprise data initiatives
- Translate business needs into clear, data‑specific requirements, including data elements, metrics, hierarchies, transformations, and access patterns
- Own and maintain the enterprise data dictionary and business glossary, ensuring consistency and alignment across teams
- Partner closely with Data Architects and Data Engineering to ensure requirements are accurately reflected in data models, integrations, and pipelines
- Document end‑to‑end data flows and lineage, from source systems to downstream consumers
- Serve as the primary liaison between business stakeholders and data delivery teams, resolving definition conflicts and clarifying requirements
- Support backlog refinement and prioritization, ensuring requirements are complete and actionable prior to development
- Identify and help remediate data quality, consistency, and access issues
- Reinforce data governance standards, documentation practices, and approved access methods
- Participate in design reviews, planning sessions, and cross‑functional working groups
- Support regulated fintech and financial services use cases, including auditability, security, and sensitive data handling
- Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.
- At Ascensus we are guided by our Core Values of People Matter, Quality First and Integrity Always®. They inspire us every day to prioritize an environment of respect for those we serve and one another and should be visible in your actions on a day-to-day.
Supervision
· NA
Section 3: Experience, Skills, Knowledge Requirements
· Minimum 10 years of experience as a Business Systems Analyst, Data Analyst, Data Product Owner, or similar data‑focused role
· Proven experience translating business needs into enterprise‑scale data requirements
· Strong experience with enterprise data platforms, including:
· Oracle (transactional data understanding)
· Cloud data warehouses (Azure preferred)
· ETL / integration tools (Informatica or similar)
· Analytics and reporting consumers
· Demonstrated ownership of a data dictionary and/or business glossary
· Strong understanding of source‑of‑truth principles, data consistency, and governance
· Experience partnering with data architects and engineering teams in complex environments
· Financial services or fintech experience, including regulated data requirements
· Excellent analytical, documentation, and communication skills
· Ability to communicate effectively with both technical and non‑technical stakeholders
We are proud to be an Equal Opportunity Employer.
The national average salary range for this role is $110K-150K in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit
Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.comemail addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.
Originally posted on Himalayas