Data Elephant

Data Analyst

• Compare and reconcile large datasets across legacy and new Oracle databases
• Investigate approximately 7–10 million identified data discrepancies
• Perform root-cause analysis to determine why records and fields do not match
• Review Oracle SQL, PL/SQL, stored procedures, and legacy application logic
• Trace data from multiple source systems through Informatica and PL/SQL transformations
• Determine intended business rules and how individual fields should be populated
• Distinguish between source-data issues, transformation defects, mapping gaps, and logic differences
• Document findings, business rules, discrepancy patterns, and recommended resolutions
• Work with business stakeholders to validate data expectations
• Collaborate with architects and developers to recommend fixes
• Support developers during remediation and validate implemented fixes
• Use AI-assisted analysis tools where appropriate
• Own assigned analysis and communicate findings to technical and business audiences

Data Analyst, Oracle

Architect

• Lead the design and implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
• Partner with client executives and technical teams to align data strategy with business priorities.
• Architect scalable, secure, and cost-efficient solutions across AWS, Azure, and GCP.
• Provide hands-on technical leadership for solution delivery, including guiding engineers and ensuring best practices.
• Define and implement governance models, including data access, lineage, and security frameworks.
• Evaluate and prioritize high-value AI and ML use cases, embedding Generative AI into client strategies.
• Act as a thought leader by contributing to client workshops, executive roundtables, and industry discussions.

Databricks Architect

Business Analyst

• Lead discovery workshops and stakeholder interviews.
• Elicit, document, and validate business requirements.
• Translate business objectives into functional and non-functional requirements.
• Facilitate alignment between business and technical teams.
• Support solution design and implementation activities throughout the project lifecycle.
• Document current-state and future-state business processes.
• Identify inefficiencies, bottlenecks, and improvement opportunities.
• Facilitate business process optimization initiatives.
• Create process maps, workflows, user journeys, and business capability models.
• Gather and document data, reporting, analytics and ML/AI requirements.
• Assess data quality issues and support data governance initiatives.
• Define KPIs, business metrics, and reporting requirements.
• Collaborate with technical teams to ensure analytics solutions align with business needs.
• Support user acceptance testing and solution validation.
• Support data platform modernization initiatives.
• Help clients identify and prioritize analytics and AI use cases.
• Contribute to business cases and roadmap development.
• Assist with change management and user adoption activities.

Scrum Master

• Lead end-to-end delivery of data platform, analytics, ML, and GenAI initiatives
• Own project planning, scope, timelines, budgets, risks, and dependencies
• Translate high-level business goals into actionable delivery plans and milestones
• Proactively identify and manage delivery risks, trade-offs, and escalations
• Facilitate Agile ceremonies (stand-ups, sprint planning, reviews, retrospectives)
• Coach teams and clients on Agile best practices while adapting to real-world constraints
• Maintain and optimize backlogs in partnership with Product Owners and tech leads
• Communicate status, risks, and outcomes clearly and confidently
• Manage expectations and navigate shifting priorities without losing momentum
• Support proposal scoping and delivery planning during pre-sales as needed

Data Analyst, Oracle

Databricks Architect

Business Analyst

Scrum Master / Project Manager