Job description

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 careers.ascensus.com/#Benefits Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from ascensus.com or futureplan.com email 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.

Requirements

Must-haves

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
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
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)
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

Nice-to-haves

Cloud data warehouses (Azure preferred)

Application prep

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Keywords to mirror

azure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)