Consultant, Data Analyst, IT​/Tech

Consultant

Location:

Pittsburgh, PA or Lake Mary, FL (100% ONSITE)

Role Overview:
Drive performance analysis and optimization of SQL queries, Oracle, Snowflake, troubleshoot complex data and systems issues, and lead root cause analysis for data quality. Partner with technology and business stakeholders to define requirements, functional specifications, and operational architecture for strategic global programs. Provide input to data strategy and actively influence software development process improvements.

Key Responsibilities:

• Analyze, optimize, and benchmark SQL queries across Oracle and Snowflake, diagnose and resolve highly complex performance and data quality issues through rigorous root cause analysis.
• Collaborate with Universal Client Manager technology teams to define specifications, design documents, and functional use cases for system enhancements and integrations.
• Elicit, challenge, and prioritize business requirements using standard processes and templates, translate requirements into clear functional designs, user stories, and use case documentation.
• Develop project scope, objectives, constraints, and assumptions for large strategic multiyear initiatives, ensure alignment to business outcomes and operational architecture.
• Provide consultation to IT and business management on applying technology to business opportunities, plan and guide implementation of cross-functional applications and systems.
• Participate in and provide guidance on technical design reviews, test planning, and user documentation, ensure end-to-end traceability from requirements through testing and release.
• Manage scope changes and dependencies using formal requirements management principles including change control, traceability, and stakeholder signoffs.
• Gather and analyze quantitative and qualitative data to develop recommendations addressing strategic objectives across multiple global business and technology areas.
• Engage in industry forums to maintain current domain knowledge, incorporate best practices into solution design and process improvements.
• Apply experience with software systems development processes to design and implement improved methodologies, actively influence continuous improvement in SDLC and data practices.
• May allocate and coordinate work within a team or project ensuring delivery quality and timeline adherence.

Required Qualifications:

• Experience working with Collibra.
• Proven expertise in SQL performance analysis and tuning across Oracle and Snowflake environments.
• Hands-on experience investigating and remediating data quality issues including root cause analysis and corrective/preventive actions.
• Demonstrated ability to elicit and document business requirements and translate them into functional specifications, use cases, and technical designs.
• Familiarity with operational architecture, systems integration, and cross-functional application implementation.
• Proficiency with requirements management practices, change control, traceability, and participation in testing, test plans, UAT, defect triage.
• Strong stakeholder management and communication skills with the ability to consult and influence across business and technology teams.

Preferred Qualifications:

• Experience working with Artificial Intelligence.
• Experience working with Universal Client Manager or similar client platform technologies.
• Exposure to large-scale strategic multiyear programs spanning global business and technology areas.
• Knowledge of modern SDLC practices, agile methodologies, and process improvement frameworks.
• Participation in industry forums or professional communities related to data analytics or enterprise architecture.

Core Competencies:

• Analytical problem-solving and structured root cause analysis.
• Requirements elicitation and prioritization.
• Technical design literacy and testing rigor.
• Data strategy awareness and business acumen.
• Stakeholder engagement and consultative communication.
• Process improvement and change management.