Role Description We are seeking a detail-oriented individual to join our team as a data analyst. This position offers the flexibility of remote work while playing a critical role in analysing data to drive insights and support business decisions. - Collect, clean, and analyse large datasets to identify trends and patterns. - Develop and maintain dashboards and reports to visualise key metrics. - Collaborate with cross-functional teams to understand their data needs and provide actionable insights. - Assist in the design and implementation of data structures and systems. - Communicate findings and recommendations to stakeholders in a clear and concise manner. Qualifications - Proven experience as a data analyst or in a similar analytical role. - Strong proficiency in SQL and data visualisation tools (e.g., Tableau, Power BI). - Excellent analytical skills with attention to detail. - Ability to work independently and manage multiple projects simultaneously. - Strong communication skills to effectively convey complex information. Requirements - Experience with statistical analysis and programming languages such as Python or R. - Knowledge of machine learning concepts. - Familiarity with cloud data platforms (e.g., AWS, Google Cloud). Benefits - Salary: 40000 - 150000 USD Per annum

Role Description We are seeking an experienced Database Infrastructure & Data Architecture Consultant to design and implement company-level data architecture for a financial sales and services company covering insurance, tax, investment, and lending services. The consultant will be responsible for developing a scalable, secure, and flexible database infrastructure that supports operational systems, analytics, and long-term data management. - Expertise across multiple database technologies, including SQL and NoSQL systems. - Experience designing multi-layer data architectures such as operational databases, data warehouses, and data lakes. - Hands-on experience with major database platforms and cloud environments, including MongoDB, Azure, and Google Cloud. - Ability to recommend appropriate architecture for both cloud-based and on-premise environments. - Deep expertise across major database technologies, cloud platforms, data security, and enterprise data governance. - Ability to provide strategic guidance to executive leadership on the company's long-term data strategy. - Bilingual in English and Chinese preferred. Qualifications - Experience in enterprise data architecture design. - Proficiency in developing multi-layer data architectures. - Ability to define data models, schema structures, and system relationships. - Experience in designing data structures for analytics, AI, and intelligent business insights. - Experience in managing a unified enterprise Document / Knowledge Repository. - Ability to provide architecture diagrams, documentation, and implementation guidelines. Requirements - Evaluate and recommend appropriate database technologies across both SQL and NoSQL platforms. - Design database structures that leverage multiple well-established database platforms. - Ensure architecture supports flexibility, scalability, and long-term technology evolution. - Design database infrastructure that operates across cloud environments and on-premise systems. - Provide architecture recommendations for major cloud platforms such as Microsoft Azure and Google Cloud Platform (GCP). - Design hybrid architectures for secure and efficient data operations. - Define strategies for data ingestion, data pipelines, synchronization, and data flow management. - Ensure data consistency, reliability, and accessibility across the organization. - Design and implement database security architecture, including access control policies and role-based permissions. - Develop architectural controls to minimize risks of data leakage and unauthorized access. - Implement encryption, audit logging, monitoring, and security best practices for sensitive data. - Ensure compliance with industry data protection standards and regulatory requirements. - Design systems to ensure high availability, scalability, backup, and disaster recovery capabilities. - Define best practices for database performance optimization, indexing strategies, and workload management. - Establish data governance standards, including data quality, ownership, monitoring, and lifecycle management. - Provide strategic guidance on long-term database infrastructure and data architecture development. - Collaborate with engineering, product, and business teams to ensure data architecture supports business operations and analytics needs. - Provide technical recommendations for future system expansion and technology adoption. Benefits - Join the nation's largest Asian-focused financial services firm with a well-established brand and expansive network. - Work in a dynamic, diverse environment that understands and serves multicultural communities. - Access to cross-functional training, licensing support, and professional development opportunities. - Be part of a supportive team that values innovation, initiative, and shared success. - Help individuals and families achieve financial security and generational wealth. Company Description With over 30 years of experience, TransGlobal has grown into the largest Asian-focused, all-in-one financial services platform in the U.S. We offer a comprehensive suite of services including life and health insurance, annuities, real estate, private lending, tax and estate planning, and investment management through a network of 30+ branches across 14 states and over 5,000 professional independent agents.

Role Description Build the intelligence engine powering the future of care navigation. Pairtu is building the AI operating system for care navigation - a business-in-a-box platform for patient advocates that blends high-touch human support with tech-enabled workflows. As a Series A company, we are scaling fast. The next phase of growth requires operational precision, financial clarity, and decision-making powered by real-time intelligence. This role exists to build the analytics foundation that leadership, product, and operations will use to scale the company. You will not just build dashboards, you will define the metrics that run the business. What You'll Own - Build the Analytics & AI-Powered Data Engine - Design and maintain company-wide dashboards in Metabase and Amplitude. - Define KPI frameworks across operations, growth, product, and finance. - Design tracking architecture and guide engineering on instrumentation (Segment). - Ensure a single source of truth across systems. - Lay groundwork for predictive and AI-driven insights over time. - Own the Data Layer - Write advanced SQL. - Partner with product and engineering to refine schemas and data models. - Improve data reliability, governance, and documentation. - Contribute to scalable transformation workflows (dbt preferred). - Drive Measurable Operational Leverage - Identify workflow bottlenecks and quantify financial impact. - Build models that inform hiring plans, capacity forecasting, and cost structure. - Replace manual reporting with automated, scalable systems. - Shift the organization from lagging indicators to leading indicators. - Influence Strategic Decisions - Translate complex analysis into clear business recommendations. - Present findings directly to leadership. - Support experimentation, forecasting, and growth modeling. Qualifications - Expert-level SQL. - Strong experience with cutting-edge data tools (strong AI-first mindset). - Deep familiarity with Metabase, PowerBI, Tableau. - Experience managing tracking with Segment. - Comfortable working with structured and semi-structured data (including JSON). Requirements - Think in systems, not spreadsheets. - Care about business outcomes more than vanity metrics. - Influence decisions, not just report numbers. - Thrive in ambiguity and early-stage environments. - High ownership, bias toward action. Benefits - Work with an elite, A+ team. - Make a real impact as we scale. - Opportunity for growth and leveling up. Company Description We started Pairtu after years of fighting the system for our own families—Arian's mom is beating pancreatic cancer today because he learned to hack insurance rules nobody explains. Our vision: everyone deserves a fighter like that. Today we mix smart software with human advocates to guide Medicare patients through diagnoses, bills, and care plans. Investors from Omada, Oscar, and UnitedHealthcare believe in the mission—and in the scrappy team of <10 building it. Founded by experienced entrepreneurs with successful exits and deep healthcare + tech expertise. Backed by top-tier investors and advisors, including founders and executives from Oscar Health, Omada, Galileo, One Medical, Ro, United, Uber, and Postmates. We move fast and execute with purpose, operating with a lean, impact-driven mindset. We're guided by principles of conscious leadership, a commitment to getting things done (GSD), and a focus on achieving results through hard work, rapid iteration, and swift execution. Pairtu is a fast-moving, high-impact startup where chaos is the norm, and ownership is key. There's no playbook—some days, you'll put out fires; other days, you'll build from scratch. If you thrive in ambiguity, take initiative, and solve problems without waiting for direction, you'll fit right in. If you need structure and predictability or 'need to be a manager' this isn't for you. The upside? You'll level up and have growth, work with an elite, A+ team, and make a real impact as we scale. This isn't a corporate place, be advised. Our Vision + Culture: We envision a future where every American has access to a personal healthcare navigator. Our platform is designed to democratize healthcare navigation, offering tools and resources that were previously unavailable to many. By addressing the challenges faced by patient advocates and those navigating chronic diseases or healthcare illiteracy, we're paving the way for a more inclusive and accessible healthcare system. - Culture: - Human connection: We're bringing healthy human relating into the world as a healing modality, and we prioritize healthy relating within our team and in everything we do. - Playful creativity: We bring levity, fun, and playfulness to our work. - Excellence: in executing, thinking, writing, and communicating. - Stop the ego: hard conversations and ripping the bandaid earlier than later. Uplift each other. - Outwork smartly, competitive for our customers: Impact is driven that's measured on driving benefit to the end customer. Pairtu is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of their background. Join us in transforming healthcare navigation.

Role Description The Director, Customer Master Data provides enterprise leadership, strategy, and accountability for customer master data across the organization. This role owns the definition, governance, quality, prioritization, and execution of customer master data that enables accurate order creation, digital access provisioning, billing integrity, reporting, and integrated platform experiences. As customer, system, and go‑to‑market complexity increases, customer master data is a critical operational and revenue‑protecting control point. This role ensures trusted customer data across upstream and downstream systems, mitigates enterprise risk, and drives cross‑functional alignment across Operations, TSG, Finance, Sales, Marketing, Customer Service, Customer Success, and Product Management. This role will also be accountable to the Chief Data Officer’s data product framework and governance model. Key Responsibilities - Enterprise Strategy & Ownership - Define and execute the Customer Master Data strategy, roadmap, and operating model. - Establish clear ownership for customer master entities, attributes, hierarchies, and identifiers across systems. - Serve as the enterprise decision authority for customer master standards, policies, and resolution of data conflicts. - Align customer master data priorities with go‑to‑market readiness, integrated HMH / NWEA execution, and platform transformation initiatives. - Data Governance & Quality - Design and lead the Customer Master Data governance framework, including data ownership, stewardship, decision forums, and escalation paths. - Define and enforce data quality metrics, SLAs, and controls. - Ensure consistent application of match, merge, balance, and hierarchy logic across systems supporting customer identity and structure. - Partner with Finance, Legal, and Compliance to ensure regulatory, billing, and audit requirements are met. - Operational Execution & Risk Management - Provide oversight and direction to customer account maintenance, stewardship, and data operations teams. - Identify and mitigate single‑points‑of‑failure, process gaps, and execution risk related to customer data. - Reduce downstream rework, order fallout, billing errors, and access issues caused by poor data quality. - Establish clear operational playbooks and standards for ongoing customer master data maintenance. - Technology & Integration Leadership - Partner with IT and Enterprise Data teams on the design and evolution of MDM platforms and integrations (e.g., Informatica MDM, SAP, Salesforce, NetSuite, digital platforms). - Ensure customer master data is consistently synchronized and consumable across upstream and downstream systems. - Guide prioritization of enhancements, automation, and tooling to improve data quality, scale, and speed. - Cross‑Functional Collaboration - Act as a senior partner to Sales, Marketing, Customer Service, Finance, Product Management, IT, and Analytics teams. - Translate business requirements into scalable customer master data solutions. - Communicate customer master data impacts, risks, and tradeoffs to executives and stakeholders. - Represent Customer Master Data in enterprise planning, transformation, and operating forums. - People Leadership - Lead and develop a high‑performing team of customer data stewards, analysts, and data professionals. - Define roles, responsibilities, and career paths for customer master data and stewardship functions. - Foster a culture of accountability, data excellence, and continuous improvement. Qualifications - 10+ years of experience in Master Data Management, Data Governance, or Enterprise Data Operations. - Proven leadership experience owning customer or account master data in complex, multi‑system environments. - Deep understanding of customer data concepts including accounts, organizations, contacts, hierarchies, identifiers, and lifecycle management. - Experience partnering across Operations, IT, Finance, and Commercial teams. - Demonstrated ability to operate both strategically and hands‑on in dynamic environments. Requirements - Experience with enterprise MDM platforms (e.g., Informatica MDM, SAP MDG). - Background supporting order‑to‑cash, digital fulfillment, rostering, entitlement, or billing processes. - Experience in education, SaaS, or subscription‑based business models. - Familiarity with large‑scale system integrations and data transformation initiatives. Benefits - Salary range: $108 - $113K. - Application Deadline: The application window for this position is anticipated to close on May 12, 2026. We encourage you to apply as soon as possible. Company Description HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. HMH serves more than 50 million students and 4 million educators in 150 countries.