• Facilitates assigned contract processes for all contracting scenarios, including but not limited to the coordination and finalization of the customer contract including the project specifications in the budget for proposals, contracts and change orders • Assists management with complex tasks such as bidding template updates, bidding calculators and process improvement tools • Support TFS response to sales opportunities and work with the internal TFS team to respond appropriately to Request for Information (RFI) and Request for Proposal (RFP) • Communicate cross-departmentally, globally and with frequent executive level correspondence • Support the TFS team preparing for client meetings and Bid Defence Meetings (BDM) • Record all relevant business activities and client contacts in the Customer Relationship Management system (Salesforce)

• The Payor Analyst is responsible for maintaining critical system files, included but not limited to Insurance Databases Files and other applicable reference tools that support the reimbursement process. • Additionally, the Payor Analyst assists the audit team by pulling necessary documentation to support an audit, or deep dive requests as needed. • Maintain and manage the Payer Information Management System database, ensuring payer files are accurate, current, and aligned with reimbursement workflows. • This includes reviewing, cleaning, and updating insurance database records such as payer processing information, Prior Authorization and Appeals requirements, key contacts, required documentation, and documented payer best practices. • Serve as point person in collecting and validating new insights as they emerge from cross-functional team members. • Act as a cross-functional liaison regularly connecting with other internal and external stakeholders to understand and disseminate knowledge changes in payer policies/requirements/processes. • Clean and update current system files. • Ensure that necessary departments are notified of changes, and maintain a file of payer changes or notices for future reference. • Work with appropriate operations groups to create payer roadmaps that help guide users to appropriate billing/PA/Appeal documentation and procedures based on the prescribed treatment. • Collaborate with client stakeholders to receive and share insights on evolving payer trends and changes impacting access and reimbursement.

Role Description We are seeking a highly analytical and detail-oriented Senior Data Quality Analyst to join our growing team. In this role, you will be responsible for ensuring the accuracy, consistency, and integrity of complex datasets across multiple systems and sources. In addition to solving complex data problems, you will help define scalable data quality practices, validation approaches, and workflows that improve data reliability and enhance data quality across the organization. This is a hands-on technical role requiring a balance of technical expertise, problem-solving, and leadership. The Senior Data Quality Analyst will be responsible for: - Coaching and mentoring other analysts - Defining operational standards - Helping develop and implement scalable, cross-functional workflows for the data quality function in partnership with product, development, and veterinary medical teams Qualifications - 5+ years of experience in data analysis, data quality, or data management roles within technology, data-driven, or health-related industries - Bachelor’s degree in Data Science, Information Systems, Computer Science, or a related field preferred - Demonstrated experience mentoring analysts and leading complex data investigations or cross-system data quality initiatives - Deep understanding of ETL/ELT pipelines, data modeling, and cloud-based data ecosystems - Demonstrated experience normalizing and mapping complex datasets from diverse systems and formats - Strong expertise in SQL, data profiling, and root-cause analysis - Proven ability to implement automation, AI, or machine learning tools to improve data quality processes and efficiency - Excellent analytical and problem-solving skills, with exceptional attention to detail - Experience in establishing and monitoring data quality metrics and KPIs - Strong collaboration, communication, and documentation skills - Experience investigating complex data discrepancies across multiple systems or pipelines - Meticulous and methodical approach to data integrity and quality assurance - Proactive, innovative mindset exhibiting technical curiosity - Collaborative team player who thrives in a fast-paced, small company environment - Comfortable owning complex problems while guiding others in solving them - Familiarity or interest in the animal health industry is a plus Requirements - Lead and drive in-depth research and analysis to identify and remediate inconsistencies, gaps, and anomalies across datasets - Collaborate with data engineers, product managers, and domain experts to validate data integrity and alignment with business logic - Lead cross-system data mapping and normalization initiatives - Develop and maintain documentation, master data dictionaries, and data lineage documentation - Define, design, and oversee data quality validation rules, metrics, and monitoring processes - Measure and monitor key data quality metrics and performance indicators - Design automated and manual validation checks to ensure data accuracy, completeness, and consistency - Partner with development teams to integrate validation into data pipelines and transformation workflows - Design and optimize scalable workflows for data intake, mapping, normalization, and validation - Identify opportunities to improve data quality processes through automation and tooling - Apply AI and machine learning tools to enhance anomaly detection, mapping accuracy, and validation processes - Utilize AI-based solutions to identify and predict data inconsistencies - Collaborate with engineering teams to integrate automated validation and enrichment into production pipelines Benefits - Competitive compensation and benefits package - Opportunities for growth and professional development - Comprehensive leave policies, including PTO, sick leave, and study leave - Access to employee discount programs - Monthly connectivity allowance

Title: QA Automation Analyst Location: Seattle United States Job Description: BettingJobs is thrilled to collaborate with our client, a prominent online bookmaker known for transforming the sports betting and gaming industry, in their search for a QA Automation Analyst to join their team based remotely in Serbia. Key Responsibilities: - Build and maintain comprehensive test automation for APIs, UI, and end-to-end flows - Design and enhance automation frameworks for complex system integrations and third-party services - Implement and maintain automated regression test suites for new features and releases - Integrate automated tests into CI/CD pipelines to enable continuous testing - Contribute to automation coverage metrics and reporting - Support an automation-first approach for all new feature development - Collaborate with cross-functional teams and international stakeholders across time zones - Follow and contribute to automation standards and best practices - Analyse test results, identify defects, and support root-cause analysis - Maintain clear test documentation and execution reports Requirements: - 3-5+ years of QA automation experience - Strong hands-on experience with Playwright (UI and end-to-end automation) - Proficiency in JavaScript and Node.js - Experience with API test automation - Hands-on experience integrating automation into CI/CD pipelines - SQL and database validation skills - Experience working with Git-based version control systems - Familiarity with Agile/Scrum development environments - Strong analytical, problem-solving, and debugging skills - Excellent English communication and collaboration skills - Experience of working with distributed or international teams - Experience in gaming, fintech, or other regulated industries Nice to have: - Knowledge of compliance and regulatory testing (e.g., PCI DSS, GDPR) - Exposure to performance or high-volume system testing - Experience with containerized test environments (Docker, Kubernetes) - Experience with AWS or cloud-based testing services - Experience with AI-assisted testing tools - Bachelor's degree in computer science or related field - ISTQB or other QA certifications