Role Description Infrasync's engineers design the specs behind every client dashboard — the calculations, the layout, the placeholder data. This role is about taking those specs and building them into real, working dashboards and automated reports that utility clients actually use. You'll sit right in the middle of Infrasync's workflow between engineering and the finished product, with real ownership over how the company's reporting systems evolve. Qualifications - Advanced proficiency with Power BI (required) including SQL, Python, and other languages - Experience with Esri GIS (required) - Familiarity with Microsoft Azure / Azure Fabric and API implementations - Strong ability to take complex time-series, geospatial, and asset data and turn it into data models, dashboards, and reports - Comfortable learning and simplifying complex water-industry topics — like water loss or sewer inflow and infiltration — into automated reporting systems - Experience with water infrastructure or engineering is a strong plus, though not required - Experience with front end applications such as React or Blazor is a plus but not required - A genuine interest in using data to help cities make better infrastructure decisions Requirements - Power BI - Esri GIS - Microsoft Azure / Azure Fabric - Reporting Hub (client distribution) - IconMaps (custom visuals) - SQL - Python - Figma - Clickup What Success Looks Like - Number of dashboards shipped - Number of tickets/feature requests resolved from the backlog - On-time schedule adherence A 10/10 hire is someone who can pick up Infrasync's existing systems and processes quickly, meet immediate project needs, and then help advance and improve the software and reporting systems to keep meeting utility clients' goals.

Role Description En Workana, buscamos un/a Jr Data Governance Analyst para actuar en la operación de gobierno de datos de nuestro cliente - una empresa mexicana líder en salud y calidad de vida. El foco es dar soporte al equipo de datos en las actividades de homologación, catalogación y calidad de datos, siguiendo procesos bien definidos. Es una posición ideal para quien está en inicio de carrera en datos, tiene alta atención al detalle y disciplina con procesos. - Realizar la homologación de productos y sucursales, relacionando datos de sellout con el catálogo corporativo y validando la información junto a los KAMs (operación semanal). - Mantener y actualizar el catálogo de sucursales, recopilando información para nuevos registros y validando completitud y unicidad de los datos (operación semanal). - Ejecutar altas y actualizaciones de sucursales directamente en la base de datos después de las validaciones de calidad. - Generar y dar mantenimiento a reportes automatizados de seguimiento de homologaciones (semanal). - Elaborar y mantener documentación de los procesos y aplicativos utilizados en las homologaciones. - Validar la calidad y consistencia de los datos antes de cualquier incorporación al catálogo. Qualifications - Educación superior cursando o concluida en Estadística, Matemáticas, Física, Ingeniería en Sistemas o Computación. - 1 a 2 años de experiencia con Análisis de Datos. - Python (para limpieza, transformación y análisis de datos). - Conocimientos en bases de datos relacionales (SQL), consultas avanzadas y validación de unicidad (IDs únicos). - Manejo de Excel (filtros, tablas dinámicas, fórmulas) y herramientas de Business Intelligence para reportes. - Capacidad de aprendizaje rápido y adaptación a entornos técnicos. - Atención meticulosa a los detalles y rigor en la ejecución de procesos. - Capacidad de seguir instrucciones y validar entregables antes de enviarlos. - Responsabilidad y autonomía para dar seguimiento sin necesidad de recordatorios constantes. - Trabajo en equipo y buena comunicación con áreas de negocio y tecnología. - Proactividad y orientación a la mejora continua. Requirements - Experiencia con procesos de calidad de datos (deseable). Benefits - Modalidad: 100% remoto. - Jornada: Tiempo completo (8h día). - Compensación: entre USD 850 y 1.000 mensuales neto. - Tipo de contrato: Contrato de Prestación de Servicio a través de Workana. - Duración: 12 meses, con posibilidad de renovación basado en buen desempeño. Process of Selection - Breve Video Screening asincrónico en Hireflix. - Entrevista Técnica Cultural con cliente. - Breve Challenge técnico con cliente.

Role Description Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Remote Travel Required: 2-5 Weeks Per Year We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis. What You’ll Do - Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. - Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually. - Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis. - Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization. - Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources. - Utilize advanced statistical techniques and leverage machine learning models to solve business challenges. - Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes. - Mentor and guide junior analysts, fostering a data-driven culture within the organization. - Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence. - Quickly familiarize yourself with new datasets and efficiently provide valuable insights. Qualifications - Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field. - 5+ years of experience in analytics, data management, business intelligence or a related field. - Experience working with healthcare claims data, including medical or pharmacy claims. - Proficiency in SQL for querying and managing large datasets. - Experience with data visualization tools such as Looker, Tableau, or Power BI. - Strong understanding of data modeling, statistical analysis and data visualization. - Proficiency in programming languages such as Python (preferred) or R for data analysis and automation. - Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure). Desired Qualifications - Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field. - Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes. Requirements - Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders. - Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners. - Strong problem-solving skills and a results-driven approach. - Excellent time management skills and keen attention to detail. Compensation Base Salary Band: $73,539 - $136,065 At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. Benefits - Competitive compensation. - Flexible time off to recharge. - Hybrid work options. - Mental and emotional wellness resources. - 401K plan. - Comprehensive range of modernized benefits and cultural perks. Company Description PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers, and health brands with relevant information that is proven to drive healthier decisions and better outcomes.

Role Description Join BILL as a Staff Data Analyst and help shape the future of AI-native financial management for small and midsize businesses. You will partner closely with the team building BILL.AI, our platform's AI program and shared foundation, working alongside product, engineering, and design leaders to define what success looks like as we transform BILL from a "do-it-with-me" tool into a "do-it-for-you" platform. This role sits at the intersection of a genuinely new product domain and a cross-functional analytics challenge. You will be defining metrics for AI-powered workflows that do not have established benchmarks, measuring accuracy and trust in a domain where both are critical, and helping teams across Payments, Growth, and AP Product align around a shared understanding of how AI is performing across the BILL platform. The right candidate brings the rigor of a seasoned analyst, the technical depth to build AI-powered analytics systems, and the curiosity of someone energized by ambiguity and first-principles thinking. Responsibilities - Partner with product and engineering leaders across the AI program to define and own the metrics framework for BILL.AI, establishing the KPIs that matter: automation rates, no-touch workflow completion, AI accuracy, customer trust signals, and engagement across interaction channels including in-product, SMS, and Slack. - Conduct deep-dive analyses that go beyond surface-level dashboards, decomposing the drivers behind AI adoption and drop-off, identifying where the platform is building customer trust and where it is losing it, and surfacing findings that directly inform roadmap prioritization. - Build AI-augmented analytics systems that scale insight generation across the program, including LLM-powered tooling for synthesizing qualitative signals, automating insight extraction, and surfacing patterns that traditional analytics methods cannot efficiently capture at volume. - Serve as the analytical connective tissue across the AI program, working cross-functionally with teams spanning Integrated Experiences, APARAC Product, Payments, and Growth to ensure consistent metric definitions, avoid duplicated instrumentation, and enable reliable self-serve analytics. - Design and analyze experiments in new territory, building frameworks that allow teams to run rigorous tests even where there is no historical precedent, including studies of automation acceptance, AI transparency, and interaction model preferences. - Build scalable, reusable analytics infrastructure including dbt models, dashboards, and standardized metric definitions that serve multiple teams and reduce duplicated work across the analytics organization. - Translate complex AI performance signals into clear narratives and recommendations for Director and VP-level stakeholders, influencing decisions with data and defending analytical conclusions with confidence. - Mentor and develop junior and mid-level analysts on the team, providing technical feedback, guidance on problem-scoping, and support in navigating a complex cross-functional program environment. Qualifications - 5 or more years of experience in a data analyst role within a technology-driven or fintech environment. - A demonstrated track record of building metrics frameworks from the ground up in ambiguous, fast-moving product areas. - Advanced proficiency in SQL, and familiarity with Python for analysis. - Experience with dbt and data modeling, including designing reusable, production-grade data assets consumed by multiple teams. - Experience building or integrating with LLM APIs (such as OpenAI, Gemini, or Anthropic) to create scalable, AI-powered analytics workflows. - Strong experience with A/B testing and experiment design, including comfort operating in domains where controlled experimentation is limited. - Excellent data quality instincts, with experience identifying inconsistencies at the source rather than only in downstream reporting. - Strong written and verbal communication skills, with the ability to present analytical findings and recommendations to senior leadership with clarity and confidence. - A degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, or Computer Science. Desired Qualifications - Experience applying NLP or LLM-based techniques to analyze qualitative data at scale, such as customer feedback, transcripts, or survey responses. - Background in financial operations, fintech, or payments data domains. - Experience in a cross-functional analytics role where influence extended beyond a single feature team or reporting structure. - Familiarity with AI workflow automation tooling such as n8n or similar platforms. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.