• Leads, mentors, and develops a team of safety analysts and engineers, establishing clear roles, responsibilities, and performance expectations across on‑road and simulation‑based safety performance monitoring. • Provides regular technical review, coaching, and feedback to ensure analyses are statistically sound, methodologically defensible, reproducible, and supported by clear documentation. • Sets expectations for rigorous problem formulation, appropriate method selection, and defensible interpretation of results, particularly for sparse, noisy, or rare‑event safety data. • Ensures continuity of knowledge through documentation, peer review, cross‑training, and shared analytical patterns to reduce single‑point dependencies. • Ensures team outputs are aligned with internal safety policies, safety case strategy, and regulatory expectations, including appropriate use of statistical and risk‑based evidence. • Applies engineering judgment, informed by an understanding of safety metrics, deployment context, and probabilistic risk estimation, to evaluate the sufficiency of safety performance evidence and residual risk. • Guides leaders in understanding the strengths, limitations, uncertainty, and assumptions underlying safety performance results. • Balances analytical rigor with timeliness to support high‑consequence, time‑sensitive decisions, without overstating confidence or masking uncertainty. • Drive data visualization and reporting strategies that enable both technical teams and executives to quickly understand insights and tradeoffs • Ensure transparency and traceability through strong documentation, reproducible workflows, and automated reporting (including regulatory artifacts) • Establishes and oversees requirements and safety metrics including thresholds and targets for safety performance monitoring across on‑road and simulation‑based data sources. • Ensures performance monitoring approaches appropriately reflect real‑world deployment exposure and evolving operational contexts. • Governance of continuous analysis workflows that support operational monitoring, milestone gating, and incident response. • Ensures investigations are unbiased, statistically appropriate, and methodologically sound, including correct treatment of rare events, sparse data, and uncertainty. • Reviews and challenges analytical assumptions, metric definitions, and risk interpretations to prevent misplaced confidence. • Guides the team in synthesizing findings across data domains into coherent, defensible safety narratives that connect performance results to risk. • Communicates complex safety performance results, statistical reasoning, and risk implications clearly and confidently to engineers, executives, and safety governance bodies. • Represents the team in cross‑functional forums, advocating for analytical rigor, disciplined interpretation of results, and realistic expectations of what performance data can and cannot support. • Translates uncertainty, assumptions, and limitations transparently, enabling informed decision‑making rather than false confidence. • Builds trust through consistency, technical credibility, and demonstrated accountability for the quality and integrity of team outputs.

Join Servus Credit Union - Canada’s Largest Credit Union! We are hiring for a full-time temporary Senior QA Analyst to join our Platform Data Integration Team! Posting closes: May 1st, 2026 Employment Status: Full-time/ Temporary/ 37.5 hours per week. Additional Information: Remote First; ~ 12-month contract For Internal Use Only/Role Grade: P3; 5C At Servus Credit Union, we do things differently—because we’re a credit union, not a bank. And that difference matters. We believe in putting people before profits, which is why our members are also our owners. Every dollar we earn is reinvested into the things that matter most: our members, our employees, and our communities. Whether it’s through profit sharing, competitive rates, or local initiatives that make a real impact, we’re here to help Albertans feel good about their money. We’re looking for passionate, values-driven people to join our team. We welcome individuals from all backgrounds who are aligned with our values and are eager to contribute in meaningful ways. If you're excited to grow your career with a team that’s innovative, hardworking, collaborative and deeply rooted in community, we want to meet you. Join Servus and discover a better way to work. As a Senior QA Analyst - PDI, reporting to the Director Platform Data Integration, you’ll be responsible for defining test strategy, building scalable automation frameworks, and ensuring enterprise‑grade quality across APIs and integration platforms. In addition to hands‑on automation, this role provides technical leadership, mentorship, and strategic guidance for quality practices across PDI initiatives. The Senior QA Analyst partners with developers, architects, and platform teams to ensure that APIs and integrations are testable, resilient, performant, and production‑ready. What You'll be Doing: Advanced API & Integration Test Automation - Lead the design and implementation of enterprise‑scale API automation frameworks. - Define testing standards for RESTful APIs, integrations, and data flows. - Develop advanced automation using Karate, including reusable features and shared libraries. - Review and guide API test coverage across multiple initiatives. - Ensure consistency in validation of contracts, schemas, and error handling. Performance, Reliability & Resiliency Testing - Own performance and load testing strategy using tools such as JMeter and Gatling. - Design test scenarios that simulate real‑world usage and failure conditions. - Analyze performance results and provide actionable recommendations. - Validate resiliency patterns such as retries, circuit breakers, and graceful degradation. - Partner with developers to resolve systemic quality and performance risks. Test Strategy, DevOps & Quality Engineering - Define and evolve QA automation strategy for PDI. - Embed automated testing into CI/CD pipelines using Azure DevOps. - Establish quality gates and release readiness criteria. - Improve test execution reliability across environments. - Reduce manual testing through automation and tooling improvements. Technical Leadership & Mentorship - Mentor QA and development team members on API testing and automation best practices. - Lead test design and automation code reviews. - Influence solution design by providing testability and quality feedback early. - Act as a trusted quality advisor to product owners and technical leadership. Collaboration, Reporting and Governance - Communicate quality risks, trends, and recommendations to stakeholders. - Lead defect triage and quality risk assessments. - Define and track quality metrics for APIs and integrations. - Contribute to enterprise QA standards, documentation, and governance. What you Bring: Technical Skills - Expert experience testing RESTful APIs and distributed systems. - Advanced proficiency with Karate for API automation. - Strong experience with Postman and API contract validation. - Deep experience with JMeter and Gatling for performance and load testing. - Experience with Loan Runner or equivalent integration testing tools. - Proficiency with Visual Studio Code. - Strong working knowledge of Java and JavaScript. - Extensive experience integrating automation into Azure DevOps Pipelines. - Proficiency with Azure DevOps Git and branching strategies. - Strong understanding of API security, data integrity, and integration patterns. Soft Skills - Strong system‑level thinking and analytical skills. - Ability to influence technical decisions and quality outcomes. - Clear and confident communication with technical and non‑technical stakeholders. - High degree of ownership and accountability. - Leadership mindset with a focus on enablement and coaching. Experience and Education - 6–10+ years of experience in QA automation or quality engineering. - Proven experience leading API and integration testing efforts. - Demonstrated leadership in defining quality strategies and frameworks. - Bachelor’s degree in Computer Science, Engineering, or equivalent experience. - Certifications (optional but beneficial): - ISTQB Advanced Test Automation Engineer - Performance testing certifications - Cloud, DevOps, or integration‑focused certifications Other Role Requirements - Participation in release governance and production readiness reviews. - Adherence to enterprise security and compliance standards. - Commitment to continuous improvement in quality engineering practices. Why Servus? Working for Servus has outstanding benefits. In addition to standard benefits like health and wellness, vacation and retirement savings programs, we also provide other important benefits such as: - Competitive compensation including performance-based incentive pay and profit share - Training & Development Opportunities - Career Advancement Potential - Flexible work options - Meaningful work towards individual and corporate goals  - Opportunities to get involved and give back through an employee volunteer program At Servus, our employees are also members. This means you'll have all the benefits of being a member of the credit union including profit sharing, voting for the board of directors, and all of the financial services we provide…with a few additional perks! What happens next? We thank all applicants for their interest. Please note applications will only be accepted online and only those applicants under consideration will be contacted. At Servus Credit Union, we believe in being purposefully cooperative and working together to create a culture of Belonging for everyone. We are committed to an inclusive, equitable, and accessible workplace where everyone is valued, respected, and supported. We encourage applications from individuals of all backgrounds, and accommodations are available during every stage of the hiring process upon request. Your skills, passion and curiosity may find they belong at Servus, so even if you don't check every box, we encourage you to apply! Employment Eligibility: The selected candidate(s) must successfully pass a criminal background check, reference check and credit check to qualify for hire by Servus Credit Union. Qualified applicants are invited to apply online. We thank all applicants for their interest. Please note applications will only be accepted online and only those applicants under consideration will be contacted. #indh

We’re an interactive, AI-driven entertainment platform (cloud-rendered, streamed to browser). We have Amplitude and Grafana in place but our instrumentation is incomplete and the two systems disagree on basic session counts. We need someone to fix the data foundation and build the dashboards we need to make product decisions. We have a detailed implementation spec ready — exact event names, properties, fire conditions, and dashboard definitions. This is execution work with a clear scope, not a discovery engagement. Approximate scope of project: 2 Weeks Rate (depending on experience): $55-75/hr What You’ll Do 1.     Audit our instrumentation. Reconcile session counts between Grafana (server-side) and Amplitude (client-side). Find why they disagree, document the cause, and establish which system is the source of truth for which metrics. 2.     Implement user identity and cohort tagging. Set up Amplitude user properties at first touch — UTM params, ad group/creative IDs, referrer, device, geo, acquisition cohort week, bucketed acquisition channel. 3.     Instrument core funnel events. 8 events covering landing page → CTA → experience load → first frame → session start/end → chat interaction → story progress. Mix of client-side (JS SDK) and server-side (HTTP API). 4.     Build retention dashboards. D1/D3/D7/D14/D30 retention curves, segmented by acquisition channel, device, first experience, and cohort week. 5.     Build journey visualizations. Amplitude Journeys charts showing full user flow from landing to return visit, with filtered views by channel, device, experience, and cohort.

UC Health is hiring a Full Time Sr. Business Intell Analyst The purpose of this position is to support organizational needs for data reporting, data extracts, visual dashboards, and related metrics to inform decision‑making, planning, and continuous improvement across UC Health—with a special focus on the Neuroscience Institute. Responsibilities include the collection, manipulation, and dissemination of data to support clinicians and decision‑makers at all levels of the organization. This role also includes opportunities to work with emerging technologies. Ideal candidates will have some experience applying AI‑assisted analytics, such as building simple interfaces using AI agents or exploring methods for extracting insights from unstructured clinical data within medical records. The position leads development projects with junior staff and is responsible for the creation, documentation, and support of business intelligence (BI) solutions from Epic databases and other data stores. Strong attention to detail and data analysis experience are critical for success in this role.