Data Analyst

Job Overview:

Pay Range: $45hr - $50hr

Requirement/Must Have:

• 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, and defect triage.
• Strong stakeholder management and communication skills with the ability to consult and influence across business and technology teams.

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 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 sign-offs.
• 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.

Nice to Have:

• 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.

Skills:

• 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.