SQL Performance Optimization Analyst

Job Title: SQL Performance Optimization Analyst Location: Charlotte, NC (Hybrid - 3 days onsite) Contract | Max Pay Rate: $52/hr. We are seeking a highly technical, analytical, and self-driven SQL Performance Optimization Analyst who has “grown up coding.” This role supports two of the organization’s largest risk databases by analyzing, optimizing, and modernizing long-running queries that currently impact enterprise performance. The ideal candidate is autonomous, proactive, and able to turn ambiguous problems into concrete, efficient solutions. This position partners closely with the database-owning teams, acting as the dedicated resource to fix inefficiencies that technology has already identified but does not have capacity to address. Key Responsibilities • Review, analyze, and optimize long-running SQL queries across major risk databases. • Interpret existing data sources, logic, and output to determine the root cause of inefficiencies. • Rewrite or re-architect complex queries, often reducing 50-line statements into 1-2 optimized lines. • Where beneficial, rewrite logic using Python to improve performance or process automation. • Convert frequently run or high-load queries into Tableau/Power BI dashboards to reduce database hits. • Communicate findings, proposed solutions, and results proactively—surfacing questions early and independently. • Partner with cross-functional teams to ensure changes improve performance without breaking downstream processes. Required Qualifications • Strong SQL expertise with hands-on experience opening, analyzing, and rewriting long-running queries. • Deep technical foundation; someone who “grew up coding” and is comfortable navigating complex logic. • Ability to independently identify performance bottlenecks and propose actionable solutions. • Experience optimizing data workflows, structures, or query patterns. • Proven ability to work autonomously without daily direction. • Strong analytical and problem-solving mindset. Preferred Qualifications • Python experience for logic optimization or efficiency improvements. • Tableau or Power BI experience to convert recurring queries into automated dashboards • Experience supporting Market Risk or Counterparty Risk data environments.