Data Analyst

Data Analyst Details

Location: Remote

Position Type: 18M+ Contract

Hourly / Salary: up to $90W2+ based on experience

Vaco is currently seeking a Data Analyst for an 18M+ Contract opportunity that is remote. The Data Analyst will serve as the primary liaison between business stakeholders and project teams, ensuring data accuracy, reporting integrity, and successful business acceptance of project deliverables. The Data Analyst will lead data validation and reconciliation efforts, confirm KPI alignment across systems and reports, support UAT, coordinate business sign‑off activities, and maintain audit‑ready documentation throughout the project lifecycle.

The ideal Data Analyst will possess the ability to combine strong analytical skills with business analysis experience and a meticulous approach to data quality and governance.

• Data Validation / Reconciliation – Validating data across source/target systems and performing reconciliation activities to ensure accuracy, completeness, and consistency.
• Data Quality / Issue Resolution – Investigating data discrepancies, identifying root causes, and coordinating resolution of data quality issues across business and technical teams.
• KPI / Business Metric Validation – Verifying KPIs, reports, and business metrics against expected results to ensure data integrity and reporting accuracy.
• User Acceptance Testing (UAT) – Developing, executing, and documenting UAT test cases, scenarios, and validation results to support successful solution delivery.
• Business Review / Sign‑Off Coordination – Facilitating business stakeholder reviews, feedback sessions, and formal approval processes for data and system deliverables.
• Audit / Compliance Documentation – Producing audit‑ready documentation, traceability artifacts, and validation records, and supporting evidence for governance and compliance requirements.
• Data Governance / Quality Initiatives – Supporting data governance programs, data quality frameworks, and process improvements to strengthen enterprise data management practices.
• Business / Technical Liaison – Acting as the primary bridge between business users and technical teams to gather requirements, clarify issues, align expectations, and drive resolution of data‑related challenges.

• Data Analysis / Validation Experience – Experience as a Data Analyst, Business Analyst, or Data Quality Analyst supporting enterprise data validation, testing, and reporting initiatives.
• Data Validation / Reconciliation – Experience validating and reconciling data across multiple systems, reports, and data sources.
• Data Quality Management – Experience identifying, investigating, and resolving data quality issues, discrepancies, anomalies, and root‑cause findings across complex data environments.
• KPI / Reporting Validation – Experience validating KPIs, business metrics, and reporting outputs and aligning business requirements with expected results.
• UAT – Experience supporting UAT test planning, test case development, execution, defect tracking, and business acceptance processes.
• Stakeholder Review / Sign‑Off Coordination – Experience facilitating business reviews, stakeholder approvals, validation meetings, and formal sign‑off activities across multiple teams.
• Data Governance / Integrity – Knowledge of data governance, data quality, and data integrity best practices.
• Documentation / Audit Readiness – Experience creating validation documentation, test results, traceability artifacts, and audit‑ready evidence.
• Data Analysis Tools – Proficiency with SQL, Excel, and other analytical tools for analyzing large datasets, investigating issues, and supporting validation efforts.
• Cross‑Functional Collaboration – Experience working with business stakeholders, project teams, developers, QA teams, and data teams.
• Data Migration / Transformation Support – Experience supporting data migration, system implementation, reporting transformation, and data modernization initiatives through structured validation and testing activities.

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because…