• Support the HR Analytics and HR Operations teams by coordinating payroll consolidation activities, managing stakeholder communications, maintaining HR data accuracy, and supporting HR projects and reporting processes • Follow up with payroll stakeholders across multiple entities to collect completed monthly payroll files within agreed timelines • Consolidate payroll reports and support documentation received from different entities while ensuring completeness and consistency • Track payroll submission status and proactively follow up on pending files, delays, or missing information • Support payroll reporting activities, reconciliations, and payroll-related audits • Ensure payroll files and employee data are handled confidentially and securely • Maintain and update HR project trackers, reports, and documentation • Schedule meetings, prepare agendas, and document meeting notes and action items • Track deliverables and proactively follow up with stakeholders on pending tasks and deadlines • Organize and maintain HR records, shared folders, and operational documentation • Support preparation of presentations, reports, templates, SOPs, and standard documents • Assist in coordinating HR initiatives such as onboarding programs, policy updates, audits, surveys, and reporting cycles • Track project timelines, dependencies, and risks; escalate delays or missing information when needed • Support HR reporting activities through data collection, validation, and basic analysis • Ensure HR and reporting data is accurate, complete, and up to date across systems and trackers • Perform data quality checks to ensure consistency across HR systems, payroll files, and reports • Support maintenance and administration of HR systems and reporting tools under guidance • Identify opportunities to improve, standardize, or automate recurring payroll and HR administrative processes • Assist in documenting workflows, SOPs, and process guidelines • Act as a coordination point for payroll and HR operations-related queries • Communicate payroll timelines, reminders, action items, and status updates to stakeholders • Build effective working relationships with HR, Finance, Payroll, IT teams, and external vendors • Ensure timely follow-ups and resolution of issues impacting payroll or HR operations • Support cross-functional collaboration for HR projects and operational activities

Role Description We are looking for a curious and detail-oriented junior Traceability Data Analyst to join our Customer Success team. This is a hands-on, ground-level role at the intersection of data operations, supplier engagement, and AI validation — ideal for someone early in their career who wants to build deep expertise in supply chain traceability within the consumer goods industry. You will play a critical role in unblocking traceability implementations by: - Chasing down data gaps - Engaging directly with suppliers - Ensuring data accuracy across our platform You'll also work closely with our Data Science team to help test and improve AI models in real-world conditions, and support our Center of Excellence (COE) as it navigates an evolving global regulatory landscape. Qualifications - 0–2 years of experience in data analysis, supply chain, quality assurance, or a related field — fresh graduates with relevant internships are welcome - Strong attention to detail and comfort working with incomplete real-world data - Clear communicator — able to engage professionally with suppliers and explain issues simply to non-technical stakeholders - Fluent in English (written and spoken); Mandarin Chinese is a strong advantage given our supplier base - Genuine interest in how global regulations around product traceability and supply chain transparency are evolving — you don't need to be an expert, but you should want to become one - Background or coursework in supply chain, sustainability, international trade, or consumer goods is a plus Requirements - Follow up with consumer goods suppliers to resolve data gaps, inconsistencies, and missing traceability information blocking implementation progress - Map data flows across supply chain tiers and identify where breakdowns occur - Review, validate, and correct incoming supplier data to ensure accuracy and completeness - Maintain clear records of data issues, resolutions, and supplier communications - Support the Data Science team in testing AI/ML model outputs against real traceability data - Identify where and why the AI gets things wrong, and document patterns to inform model improvements - Help Customer Success Managers monitor client progress, flag anomalies, and explain discrepancies to customers in plain language - Contribute to ground-level research on international traceability and product transparency regulations relevant to consumer goods (e.g. EUDR, CSRD, country-of-origin requirements) - Assist in drafting operating procedures, configuration guides, and data collection frameworks as regulatory requirements evolve - Bring genuine curiosity to understanding how incoming regulations will shape what data brands and suppliers need to collect — and help translate that into practical guidance Benefits - 🍹 Unlimited Annual Leave: We prioritize your well-being and trust you to manage your time. - 🏝️ Flexible Working: Whether from home, a coffee shop, or our global hubs, work where you're most comfortable. - 💪 Project Ownership: You get to lead the initiatives you're passionate about, professionally or socially. - 🌱 Grow with us: We're invested in your personal and professional development. - 🌎 Global, diverse, and innovative team: Be part of a welcoming community from 30+ countries, where unique perspectives drive innovation. - 🤝 Feel at home: Work closely with colleagues who value your voice, share our E.A.C.H. values, and help you be the best version of yourself. - 🎉 Celebrate together: Enjoy remote and hub company and team events that strengthen our bonds and build a fun culture.

Role Description TELUS Health is empowering every person to live their healthiest life. Guided by our vision, we are leveraging the power of our leading edge technology and focusing on the uniqueness of each individual to create the future of health. As a global-leading health and well-being provider – encompassing physical, mental and financial health – TELUS Health is improving health outcomes for consumers, patients, healthcare professionals, employers and employees. We are seeking an Operations Data Analyst to join our team. You will help support our client services by maintaining and managing crucial database information, preparing insightful reports, and providing essential technical support. - Create and automate reports using Microsoft SQL applications - Prepare ad hoc reports and assist in data clean-up operations - Automate and schedule reports using SQL Server Integration Services (SSIS) - Develop self-service reports using SQL Server Reporting Services (SSRS) - Collaborate with business partners to gather requirements for new report builds - Identify opportunities to automate processes and improve standard operating procedures (SOPs) - Serve as a technology expert during system implementations for new clients and system conversions for existing clients - Adapt and test parameters of in-house software to optimize data exchange processes - Ensure quality control and integrity of databases - Draft technical and user documentation for various procedures and technologies - Respond to requests and needs of the administration team, clients, and internal users Qualifications - Diploma in Computer Science or equivalent education/work experience relevant to the position - 2-3 years of experience in a similar role, including ticketing systems - Experience with SQL tools and databases - Experience with SSRS or web applications - Proficiency in Microsoft Office suite, especially Excel and Access - Familiarity with Windows environment Requirements - Excellent written and verbal communication skills - Strong customer service orientation - Ability to explain complex technical concepts to non-technical audiences - Creativity and attention to detail - Strong analytical and problem-solving skills - Ability to manage priorities, meet deadlines, and handle multiple projects - Self-motivated with the ability to work independently and as part of a team - Quick learner with enthusiasm for new challenges Benefits - Continuous support and development opportunities - Inclusive workplace culture - Accommodation for applicants with disabilities during the recruitment process

• Analyze fulfilment workflows to identify bottlenecks and propose data-backed solutions • Design, build, and maintain automated dashboards tracking key fulfillment KPIs • Independently write and own complex SQL queries to analyze large fulfilment datasets • Identify trends, anomalies, and generate clear insights from fulfilment data • Partner with Operations, Logistics, Product, and Data teams for decision-making support • Work with Data Engineers to ensure fulfillment data is clean and scalable • Monitor data integrity and resolve discrepancies to maintain trust in reporting • Track key fulfilment KPIs and proactively flag issues and anomalies • Use AI tools to accelerate analysis and automate tasks