Data Management Analyst

TEKsystems•Charlotte, NC

1d•$65 - $75•Hybrid

About The Position

The Data Management Analyst will support the STARE 2.0 transformation initiative and broader CR360 modernization efforts. The role focuses on understanding current-state business processes, data flows, reporting capabilities, controls, and system functionality within STARE and related applications. The analyst will work with business, technology, data, governance, and upstream teams to simplify processes, eliminate manual activities, rationalize data, and transition capabilities to strategic platforms. This is an analyst role rather than a developer position. The successful candidate will combine business analysis skills with technical aptitude and data knowledge, including the ability to work with data structures, mappings, metadata, lineage, SQL, and technology teams. The position is a contract role based in Charlotte, North Carolina, with a hybrid schedule requiring three onsite days per week.

Requirements

At least 7 years of Business Analysis, Data Analysis, or Product/Program delivery experience.
Experience leading requirements-gathering and business process analysis initiatives.
Strong understanding of data lineage, metadata management, data mapping, data quality, data governance, and reconciliation processes.
Experience creating BRDs, Functional Requirements Documents, process flows, data mapping documents, user stories, and acceptance criteria.
Hands-on experience with Jira and Agile delivery methodologies.
Strong analytical and problem-solving skills.
Ability to communicate effectively with business and technical stakeholders.
Experience supporting large transformation, modernization, or decommissioning initiatives.
Strong SQL skills to independently query, profile, reconcile, and validate data.
Strong data analysis skills, including analysis of large and complex datasets to identify patterns, anomalies, and reconciliation gaps.
Ability to reverse-engineer transformation rules when documentation is incomplete or does not fully reflect the implemented process.
Ability to review and compare business requirements, mapping documents, technical specifications, and TM1 implementation logic.
Ability to trace data from source through transformation to final output, including mappings, calculations, filters, aggregations, and other business rules.
Ability to work with business SMEs and technology teams to document findings, clarify transformation logic, and identify gaps between documented and implemented rules.
An inquisitive mindset, including the ability to challenge assumptions, ask questions, and investigate discrepancies.
Must be able to work W2; sponsorship cannot be provided.

Nice To Haves

Experience in Financial Services, Risk Management, Regulatory Reporting, Finance, CCAR, CECL, ACL, FRY-14, or related domains.
Understanding of enterprise data platforms, reporting solutions, and data integration patterns.
Experience supporting application rationalization or legacy platform retirement initiatives.
Familiarity with metadata, lineage, controls, auditability, and regulatory environments.
Experience with Power BI, SQL, data warehouses, or semantic data models.
Experience working within large-scale enterprise transformation programs.
Knowledge of STARE.
Experience with IBM TM1 / Planning Analytics.
Experience with Cognos.
Exposure to CR360 or similar enterprise data platform initiatives.
Understanding of forecasting, planning, or regulatory reporting platforms.

Responsibilities

Lead requirements-gathering sessions with business and technology stakeholders.
Document current-state and future-state business processes, capabilities, and workflows.
Inventory and rationalize existing STARE functionality and associated business processes.
Identify opportunities to eliminate manual processes, reduce operational complexity, and improve controls.
Create business requirements, functional requirements, process flows, use cases, and user stories.
Develop and maintain source-to-target mappings, metadata inventories, lineage documentation, and data dictionaries.
Partner with upstream and downstream application teams to document dependencies and integration requirements.
Manage and maintain Jira epics, features, stories, acceptance criteria, and backlog artifacts.
Support data quality, governance, reconciliation, control, and auditability requirements.
Facilitate stakeholder meetings, decision tracking, issue resolution, and requirements signoff.
Support migration and coexistence activities, and assist with legacy application sunset activities.
Support broader CR360 initiatives as needed.
Use SQL to query, profile, reconcile, and validate data; analyze complex datasets to identify patterns, anomalies, and reconciliation gaps.
Reverse-engineer transformation rules when documentation is incomplete or inconsistent with implemented processes.
Review and compare business requirements, mapping documents, technical specifications, and TM1 implementation logic.
Trace data from source through transformations to final outputs, including mappings, calculations, filters, aggregations, and business rules.
Work with business subject matter experts and technology teams to document findings, clarify transformation logic, and identify gaps between documented and implemented rules.