System Analyst Level IV
Share
Job Location:
Frisco, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: System Analyst Level IV
Location: Frisco TX / Overland Park KS
Duration: 6 Months
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
JOB SUMMARY:
- The System Analyst (Level IV) bridges business requirements and data engineering delivery within a P&SC intelligence squad.
- This role is responsible for deep functional knowledge of assigned source systems translating operational business processes into clear traceable data product requirements that data engineers can build from and BI products can trust.
- The System Analyst is a critical quality and accountability layer ensuring what gets built is what the business needs and that data flowing into squad products accurately reflects system-of-record behavior.
CORE RESPONSIBILITIES:
- Serve as the functional domain expert for one or more assigned source systems within the squads data product scope including Oracle ERP o9 WMS/AIMS Apkudo Ariba ZIP or SAP.
- Translate business process requirements and operational questions into detailed traceable data product specifications that guide data engineering builds and BI product design.
- Define and document data dictionaries field-level mappings transformation logic and business rules for all data products within the squads scope.
- Lead requirements discovery sessions with business stakeholders and operational system owners ensuring analytical product requirements are grounded in verified system-of-record behavior.
- Own data acceptance testing validating that built data products accurately reflect source system data operational business logic and agreed metric definitions.
- Identify and triage data quality issues root-cause discrepancies against source systems and drive resolution in partnership with data engineering teams.
- Support pipeline design reviews ensuring ingestion and transformation logic aligns with documented business rules and upstream system constraints.
- Maintain living documentation for squad data products including data lineage certification criteria known limitations and refresh dependencies.
- Partner with Technical Product Managers and Business Intelligence Managers to sequence and scope backlog items ensuring new data product work is supported by adequate source system understanding and requirements clarity.
- Mentor junior analysts within the squad on source system navigation requirements writing and data quality practices.
REQUIRED QUALIFICATIONS :
- 7-10 years of experience in system analysis data analysis or business analysis roles with significant exposure to enterprise operational systems.
- Deep functional expertise in at least one major supply chain or procurement system such as Oracle ERP SAP o9 Solutions or comparable platforms.
- Proven ability to produce rigorous actionable data product requirements including field-level mappings transformation logic and acceptance criteria.
- Strong SQL proficiency for source system interrogation data validation and requirements tracing.
- Experience leading business requirements sessions and translating complex operational processes into structured analytical data product specifications.
- Demonstrated track record identifying and resolving data quality issues across complex multi-system environments.
- Ability to work comfortably across technical data engineering conversations and business stakeholder discussions serving as a reliable translator between both.
- Strong documentation discipline with experience maintaining data dictionaries lineage documentation and data product certification records.
- Experience operating in agile delivery environments with active backlog participation.
PREFERRED QUALIFICATIONS:
- Experience with Clients operational systems or supply chain operations.
- Familiarity with Microsoft Fabric IQ Databricks or Azure Data Lake for data validation and profiling.
- Exposure to real-time or near-real-time integration patterns (Kafka Azure Event Hub) and understanding of streaming data considerations
TekWissen Group is an equal opportunity employer supporting workforce diversity.
