Contract Business Analyst — Data, Process & UAT Lead

Lingaro; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Lingaro is seeking a seasoned IT Business Analyst to act as a strategic liaison between business stakeholders and delivery teams, driving requirements, process analysis, solution design, and UAT. You will ensure data quality, governance, and scalable solutions aligned with business objectives.

Collaborate with data engineering, analytics, architecture, and project delivery teams to translate business needs into actionable specs, maps, and KPI frameworks.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or related field.

Responsibilities

• Lead requirements management, process analysis, and solution design.
• Facilitate workshops and discovery sessions with cross-functional teams.
• Analyze and validate business requirements and operating models.
• Translate requirements into specifications, user stories, and test criteria.
• Govern requirements across project lifecycle with traceability.
• Develop business process maps, data flows, and KPI frameworks.
• Advise on optimal business and technology solutions balancing value and risk.
• Lead UAT planning, testing, defect management, and sign-off.
• Coordinate testing, deployment, and post-implementation support.
• Mentor junior analysts and contribute to best practices.
• Provide strategic insights for continuous improvement.

Skills

Stakeholder management

Requirements management

Business analysis

Process improvement

UAT leadership

Data governance

Education

Bachelor's Degree in CS/IS/Engineering/Business

Tools

SAP FI/CO

SAP SD

dbt

Databricks SQL

Unity Catalog

APIs

Job description

Lingaro is seeking a seasoned IT Business Analyst to act as a strategic liaison between business stakeholders and delivery teams, driving requirements, process analysis, solution design, and UAT. You will ensure data quality, governance, and scalable solutions aligned with business objectives.

Collaborate with data engineering, analytics, architecture, and project delivery teams to translate business needs into actionable specs, maps, and KPI frameworks.