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2 results for Qa Analyst in Washington, DC

Data Analyst
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 33 - 37 USD / Hourly
  • <p>We are looking for a Data Analyst to support the creation, maintenance, and analysis of custom-formatted data reports that drive business decisions and operational improvements. This role will be responsible for transforming project requirements into actionable reporting solutions, managing the complete data lifecycle, and providing meaningful insights to Project Managers and stakeholders.</p><p>The ideal candidate will have experience working with large and complex datasets, strong SQL skills, excellent analytical abilities, and prior experience within the banking or financial services industry. This role requires a detail-oriented professional who can evaluate business processes, identify opportunities for improvement, and recommend data-driven solutions.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·        Translate business and project requirements into customized data reports and dashboards.</p><p>·        Manage the end-to-end data generation lifecycle, including data extraction, validation, transformation, reporting, and documentation.</p><p>·        Analyze business processes and identify data-driven opportunities to improve efficiency, accuracy, and decision-making.</p><p>·        Develop, create, and maintain SQL queries to extract, manipulate, and analyze large datasets.</p><p>·        Perform data audits to ensure completeness, consistency, and accuracy across multiple data sources.</p><p>·        Identify data anomalies, gaps, quality issues, and reporting discrepancies and coordinate resolution efforts with stakeholders.</p><p>·        Provide critical insights and reporting summaries to Project Managers and business leaders.</p><p>·        Support data quality initiatives through systematic review processes and implementation of data controls.</p><p>·        Analyze trends, metrics, and operational performance indicators to support strategic business decisions.</p><p>·        Maintain thorough process documentation, reporting standards, and data governance practices.</p><p>·        Collaborate with cross-functional teams to validate business requirements and reporting outputs.</p>
  • 2026-07-10T00:00:00Z
GenAI CCaaS Engineer
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 50 - 54 USD / Hourly
  • <p>Opening for an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation.</p><p>You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.</p><p> </p><p>Primary Responsibilities</p><ul><li>Amazon Connect application development and configuration: </li><li>Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.</li><li>Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.</li><li>Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.</li><li>Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.</li><li>Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.</li><li>AI orchestration and backend services: </li><li>Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.</li><li>Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.</li><li>Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.</li><li>Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.</li><li>Data safety and compliance: </li><li>Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.</li><li>Enforce PII minimization and redaction policies in Amazon Connect conversation logs.</li><li>Participate in threat modeling and support remediation of findings for contact center integrations.</li><li>Web and chat integration: </li><li>Support CloudFront + WAF configurations for secure web chat entry points.</li><li>Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.</li><li>DevSecOps and operations: </li><li>Contribute to Git-based CI/CD pipelines, code reviews, and documentation.</li><li>Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.</li><li>Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.</li></ul>
  • 2026-07-08T00:00:00Z