The role / impact As the BI/Analytics Lead for the AMER region, you will act as a strategic intelligence hub, empowering our sales teams to make data-driven decisions at the right time. This is a senior individual contributor role where you will join a high-performing function that is being built from the ground up, providing direct strategic influence as a trusted advisor to regional leadership. The role offers a unique balance for a practitioner who enjoys both deep technical execution and business partnership. You will be responsible for turning complex sales data into clear, actionable guidance that helps our sellers and managers identify operational insights to improve performance and transform the business. The team / how they connect You will join the Sales Analytics & Insights team, a global group within Sales Operations currently expanding across Australia, New Zealand, the UK, and North America. We are a full-stack analytics team that collaborates closely to deliver everything from governed data reporting to predictive modelling and experimentation. The team is currently working on / Initially, you will focus on Developing and executing a regional analytics roadmap to support strategic decision-making and sales performance. Building out a suite of interactive dashboards and diagnostic reports using Tableau and other modern BI tools. Innovating with our advanced tech stack, which includes Snowflake, DBT, and the integration of AI and Data Science. Partnering with senior stakeholders across Finance and Product to align competing priorities and drive critical company decisions. Where and how you can work This is a hybrid role based in the US or Canada. We believe in the power of connection and use our office spaces for collaborative boost days, while offering the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for You possess a mastery of SQL for data extraction and manipulation, alongside extensive experience as a technical practitioner in a stakeholder-facing role. Your background includes a commercial mindset with a deep understanding of SaaS business models and sales metrics. You have a proven ability to translate complex data into compelling stories that influence both technical and non-technical audiences. Applying advanced statistical methodologies and analytics techniques to solve complex business problems is something you do with ease. You bring an owner mindset to your work, proactively identifying operational debt and advocating for system improvements to senior leadership. Sharing knowledge is important to you, and you have a demonstrated aptitude for coaching and mentoring peers to uplift the overall proficiency of the function. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Founded in 2004, BME Strategies is a Massachusetts-based consulting firm specializing in the design, implementation, and evaluation of public health programs for local, regional, and state government partners. Our work supports evidence-based, community-driven solutions that strengthen public health systems and advance equity across the communities we serve. Position Overview We are seeking an experienced Senior Public Health Analytics Consultant to support statewide and local public health dashboarding and reporting. This role leads the business and analytic direction of dashboards, ensuring they are actionable, policy-relevant, and aligned with DPH priorities, best practice standards, and local public health needs. The ideal candidate brings strong applied analytic judgment, experience working with public health data and partners, and the ability to bridge program, analytic, and technical teams. Key Responsibilities Dashboard Strategy, Ownership, and Validation - Lead the content, structure, and use cases for statewide and local public health dashboards, ensuring usability for local public health and relevance for state partners. - Define and document business requirements, KPIs, success criteria, and analytic assumptions for dashboards and reports. - Validate that dashboards meet local and state public health needs, including analytic clarity, usability, and equity considerations. - Lead metric definition and ensure alignment with DPH and best practice standards across programs, documenting methodologies and decisions as needed in coordination with DPH partners. Analytic Guidance and Data Expertise - Serve as a biostatistical subject matter expert for dashboard design, interpretation, and data quality decisions. - Provide analytic guidance on appropriate methods for public health reporting, including rate construction, age adjustment, suppression practices, trend analysis, and interpretation of reliability. - Research, vet, and document datasets to understand limitations, biases, suppression rules, and interpretation risks. Public Health Data, Local Context, and Equity - Work with common public health dataset types, including mortality and death records, injury and violence data, chronic disease indicators, syndromic or near–real-time surveillance data, hospitalization and utilization data, and population-based datasets such as PLACES, Census and American Community Survey data, and social determinants of health indicators. - Assess dataset differences related to methodology, timeliness, geographic resolution, and equity implications. - Incorporate social, demographic, and environmental context into analytic outputs, with appropriate documentation of assumptions and limitations. - Ensure dashboards and analytic products reflect the realities of municipal, regional, rural, and capacity-constrained public health settings and align with Foundational Public Health Services. Partner Leadership and Coordination - Serve as the primary point of contact for DPH partners on dashboard-related work. - Facilitate analytic discussions with local public health and program partners, translating complex concepts into clear, decision-ready insights. - Coordinate and help prioritize dashboard-related feedback to support aligned delivery. Dashboard Delivery and Communication - Oversee Tableau dashboard development, ensuring analytic integrity, equity-focused design, and clear interpretation. - Contribute to dashboards, metadata, reports, newsletters, and other partner-facing materials with clear written communication.

• Build and optimize full‑stack, cloud‑based data systems and pipelines that deliver high‑quality, analysis‑ready datasets for business and analytics teams • Interface with other technology teams to build Azure Data Pipelines to integrate with Data Lake and other enterprise platforms • Enhance ingestion, transformation, and orchestration workflows aligned with enterprise architecture standards • Collaborate with other technology teams to help engineer data sets and curate semantic models that support analytics, machine learning, KPI reporting, and business intelligence use cases. • Partner with business teams to enhance data models supporting business intelligence tools, increase data accessibility, and foster data-driven decision-making throughout the organization. • Partner with analysts and data scientists to translate business requirements into scalable engineering solutions that improve data accessibility and reliability. • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. • Collaborate with digital product managers and deliver robust cloud-based solutions that drive powerful experiences and support enterprise‑wide analytics decision‑making. • Responsible for using innovative and modern tools, techniques, and architectures to partially or completely automate the most-common, repeatable, and tedious data preparation and integration tasks to minimize manual and error-prone processes and improve productivity. • Document data flows, transformations, and modeling logic to promote consistency and trust in delivered datasets.

• Partner with different Data teams and Data Engineering to design/model and implement Analytics and Business Intelligence Solutions • Be the go-to person for data development for internal analytics • Interface with Product teams and Data Science teams to assist and advise them in building data products