Role Description We are seeking a hands-on QA Lead to drive quality assurance for a scalable, enterprise-wide data platform for an insurance client. The role involves validating batch and real-time data pipelines, ensuring data accuracy across Raw, Silver, and Gold layers, and supporting report rationalization and self-service analytics (Power BI). The QA Lead will define and implement end-to-end data testing strategies, covering ingestion (AWS Glue, Kinesis), transformation (DBT), and consumption layers, while ensuring data quality, integrity, and performance optimization. Qualifications - Strong experience in data testing / ETL testing / data QA - Hands-on expertise with: - Snowflake (data validation, SQL testing) - DBT (testing, model validation) - AWS Glue (batch pipeline validation) - Amazon Kinesis (real-time pipeline testing) - Advanced proficiency in SQL for data validation and reconciliation - Programming skills in Python (preferred) - Experience in data reconciliation (source vs target) - Experience with data quality frameworks and validation techniques - Experience with automated data testing tools - Understanding of medallion architecture (Raw, Silver, Gold layers) - Experience validating Power BI reports and datasets - Strong understanding of business KPIs and reporting consistency - Experience in the insurance domain (Policy, Claims, Billing data) - Familiarity with regulatory reporting, audit, and reconciliation requirements - 8–12 years in QA / Data Testing / ETL Testing - 3+ years in QA leadership or lead role - Experience working on enterprise-scale data platforms Requirements - Define and implement end-to-end QA strategy for the enterprise data platform - Establish test frameworks, standards, and governance for data validation - Lead QA planning, estimation, and execution across multiple data streams - Validate data across Raw, Silver, and Gold layers ensuring accuracy, completeness, and consistency - Perform source-to-target reconciliation for batch and real-time pipelines - Design and execute: - Data quality checks - Transformation validation (DBT models) - Aggregation and KPI validation - Test batch ingestion pipelines using AWS Glue - Validate real-time streaming data pipelines using Amazon Kinesis - Ensure data latency, sequencing, and event consistency in streaming pipelines - Validate datasets powering Power BI self-service reports - Support report rationalization initiatives by ensuring consistency of KPIs and eliminating redundant data sources - Perform report/data reconciliation testing across legacy vs new platform - Develop and implement automated data testing frameworks - Leverage SQL, Python, and testing tools (e.g., Great Expectations, DBT tests, custom frameworks) - Enable continuous testing integration within CI/CD pipelines - Validate performance of data pipelines and queries in Snowflake - Identify bottlenecks and work with engineering teams to optimize pipelines and queries - Ensure scalability for large data volumes and concurrent workloads - Define and enforce data quality rules, thresholds, and monitoring - Implement data anomaly detection and alerting mechanisms - Ensure compliance with audit, reconciliation, and governance standards Benefits - Inclusive workplace culture - Equal employment opportunity (EEO) and affirmative action employer - Encouragement of individuality and growth - Prioritization of well-being

• Prospectively review all OASIS assessments to ensure accuracy, completeness, and compliance with federal and state home health regulations • Analyze OASIS variation and alert reports to identify documentation gaps and trends • Ensure correct ICD‑10 coding and sequencing, including primary diagnoses and co‑morbidities • Collaborate with home health clinicians to clarify documentation issues and support appropriate corrections • Review visit utilization to ensure services align with patient condition, care guidelines, and reimbursement requirements • Identify potential underutilization, overutilization, or financial risk and report findings to Clinical Supervisor or designee • Communicate problematic trends in OASIS data, outcomes, and processes to leadership • Participate in Quality Improvement (QI), performance improvement, and Corporate Compliance activities • Assist with additional chart audits and clinical documentation reviews as needed

Title: Quality Assurance Executive Location: Leeds England GB Hybrid Translation - Linguistics Full time Job Description: We have an exciting opportunity to join the Linguistics sub-department of our Translation team as a Quality Assurance Executive. As an ISO 17100 certified translation agency, we pride ourselves on delivering high quality for clients across multiple industries, with exceptionally quick turnarounds in 100+ languages. In this role, you will carry out quality assurance checks on translated content across a wide range of languages, focusing on non-linguistic checks to ensure accuracy, consistency, and adherence to requirements. The office is a multicultural and diverse environment, with a supportive culture where success is celebrated. If you have a passion for languages and translation, this is the perfect opportunity for you! The role: - Contract: Permanent, full-time (37.5 hours per week) - Salary: £25,000 - Hybrid-working (minimum of 1 day per week in the office) - Completing quality assurance checks of language content in a CAT tool or other platform (e.g. omissions, punctuation, numerical values etc.) - Contributing to the creation, development, and usage of assets such as style guides, term bases/glossaries, and non-translatable lists - Recording results of quality assurance checks in a variety of tools/software - Reporting on key issues arising at the quality assurance stage and identifying root problems - Actively proposing solutions to drive improvement of content quality standards - Supporting Global Resourcing with the evaluation of freelance translation/quality assurance tests, through the content management system About you: - Excellent attention to detail - Strong proofreading/editing skills - Demonstrable organisation skills - Good communication skills - Time management skills with the ability to work to deadlines - IT literacy - Ability to effectively deliver constructive feedback - Familiar with QA software/LQA models - A driven, proactive mindset - Flexible in approach to work - Passion for languages What we offer: - 33 days annual leave, plus birthday off - Company training and events budget - Work abroad policy (up to 30 days per year) - Industry-leading pension scheme (matched up to 7%) - Value-led recognition prizes - Industry-leading family policies - Hybrid, flexible working - Cycle to work scheme - Life assurance and private Bupa healthcare - Regular team socials - Employee discounts through Perkbox - Vibrant office environment with free weekly breakfasts We appreciate that employing people with a broad range of life experiences and ways of thinking adds value to our organisation. If you require any additional support or reasonable adjustments that will help you to perform at your best and be happy in the workplace, please let us know.

• Participate actively in sprint planning, quality discussions, and testing strategy sessions. • Design and execute exploratory, context-driven, and session-based testing activities. • Create test plans, coverage outlines, and testing reports. • Identify quality risks and concerns early in the development lifecycle. • Execute testing sessions, investigate issues, and document findings. • Diagnose, prioritize, and report defects effectively. • Collaborate closely with developers and project stakeholders to improve software quality. • Promote continuous improvement of testing practices and quality processes. • Contribute to building a strong quality culture across Agile teams. • Continuously evolve your testing craft through modern quality engineering practices.