Jobs via Dice

Business Analyst- Payments/ FISERV SME

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst- Payments/FISERV SME, a 5-6 month remote contract paying $60-$70/hour. Requires 5+ years in payments analysis, FISERV expertise, source-to-target mapping, and strong documentation skills. Bachelor's degree is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
April 24, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Mateo, CA
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🧠 - Skills detailed
#Documentation #Requirements Gathering #Stories #Semantic Models #Snowflake #Business Analysis #UAT (User Acceptance Testing) #Data Analysis #Data Architecture #Cloud #"ETL (Extract #Transform #Load)"
Role description
job summary: We are looking for a Business Analyst in the Payments space who is a FISERV SME for a 5-6 month project. This is a 100% remote and must have the following key skills: • Fiserv payment processor subject matter expertise • Deep knowledge of Fiserv data fields and coded values • Payment business analysis • Source-to-target mapping • Business-rule documentation • KPI definition and metric logic • code translation analysis • Functional requirements gathering • Traceability and documentation • Stakeholder communication location: Telecommute job type: Contract salary: $60 - 70 per hour work hours: 8am to 5pm education: Bachelors responsibilities: • Serve as the primary SME for Fiserv payment processor data, including field-level interpretation and business meaning • Provide deep expertise in Fiserv data elements, transaction attributes, coded values, status fields, event types, and processor-specific logic • Analyze and document source-to-business mappings for Fiserv data fields • Interpret and explain processor-specific transaction lifecycle behavior, including statuses, approvals, declines, reversals, adjustments, settlement-related indicators, and other payment events as applicable • Lead definition and documentation of business rules, code translations, and field usage guidance • Partner with the Data Architect to translate detailed Fiserv field logic into canonical structures, semantic models, and implementation-ready mappings • Support identification and rationalization of overlapping, ambiguous, or inconsistently used Fiserv source fields • Define and document KPI logic based on Fiserv data, including inclusion/exclusion rules, filters, assumptions, and edge cases • Facilitate working sessions with business stakeholders and technical teams to clarify field meaning, data usage, and reporting intent • Support issue triage during design, client implementation, validation, and UAT by clarifying whether issues are related to source interpretation, business logic, or implementation • Maintain traceability across requirements, Fiserv source fields, mapping rules, transformations, and KPI outputs - • Contribute to documentation, design reviews, knowledge transfer, and implementation guidance for client-led execution qualifications: 5+ years of business analysis or data analysis experience in payments, with direct hands-on experience working with Fiserv processor data • Deep knowledge of Fiserv payment processor data fields, file structures, coded values, and transaction-level attributes - 7 - Visa Confidential Information • Strong understanding of how Fiserv source data is used to support business reporting, operational analysis, KPI definition, and downstream analytics • Experience documenting field-level mappings, business rules, code translations, and functional logic for payment data environments • Experience interpreting processor-specific payment events and statuses and translating them into usable business definitions • Experience working with business stakeholders, architects, and technical teams to resolve ambiguity in source data and reporting logic • Strong experience with requirements gathering, workshop facilitation, and functional documentation • Ability to analyze detailed source structures and clearly explain field usage, dependencies, and exceptions Preferred Experience • Experience with Fiserv merchant, acquiring, card, settlement, authorization, or transaction reporting data • Experience supporting source-to-target mapping, decoder-ring initiatives, or semanticlayer/reporting design for payment data • Familiarity with KPI and metric development in payments environments • Experience supporting data modernization, Snowflake, or cloud analytics initiatives involving Fiserv data sources • Knowledge of payment lifecycle concepts such as: • authorizations • captures • settlements • reversals • declines • fees • adjustments • disputes / chargebacks • Experience working in client-facing advisory or implementation support engagements Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.