Role Description Für die medizinische Validierung und Interpretation von Laborwerten suchen wir eine freiberufliche ärztliche Unterstützung, die remote arbeitet und flexibel verfügbar ist. - Medizinische Validierung und fachliche Einordnung von Laborbefunden im präventiven Kontext - Durchführung kurzer telemedizinischer Gespräche mit Nutzerinnen und Nutzern zur Besprechung der Ergebnisse - Vermittlung einer verständlichen Einordnung der gemessenen Parameter und Hinweis auf potenziell relevante Auffälligkeiten - Empfehlung, wann eine weiterführende ärztliche Abklärung sinnvoll ist - Dokumentation der Gespräche und Befundbewertungen in unserem System - Zusammenarbeit mit unserem medizinisch-wissenschaftlichen Team zur kontinuierlichen Verbesserung der Inhalte - Sicherstellung einer hohen medizinischen Qualität und nutzerzentrierten Kommunikation Qualifications - Approbation als Arzt oder Ärztin in Deutschland - Erfahrung in Innerer Medizin, Allgemeinmedizin, präventiver Medizin oder Funktionsdiagnostik - Sicherer Umgang mit Laborparametern und deren Interpretation - Interesse an innovativen digitalen Gesundheitslösungen - Zuverlässige und strukturierte Arbeitsweise - Freude an klarer, patientenverständlicher Kommunikation Benefits - 100 Prozent Remote und komplett flexibel einteilbare Aufgaben - Freiberufliche Zusammenarbeit mit langfristiger Perspektive - Arbeiten in einem jungen, innovationsgetriebenen Health-Tech Team - Möglichkeit, aktiv die Zukunft präventiver Medizin mitzugestalten

• Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. • Constantly seeking ways to improve our data infrastructure. • Provide self-service and training to the rest of the company and bring data accessibility to a new level. • Utilize AI tools to automate the development of DBT models and tests, significantly reducing delivery times for the ingestion of new data sources.

• Independently design, develop, and maintain enterprise Power BI reports and dashboards that clearly communicate complex data in an intuitive and actionable format. • Create visually effective, user-friendly reporting experiences using Power BI features such as bookmarks, drill-through pages, tooltips, and conditional formatting. • Develop, enhance, publish, and maintain reports, dashboards, datasets, report schedules, and workspace configurations within Power BI Service. • Design and optimize data models, DAX measures, and calculations to support accurate, performant, and scalable reporting solutions. • Define, document, and promote Power BI development standards and data visualization best practices across the organization. • Monitor and optimize report and dashboard performance to ensure efficient load times and smooth user interactions. • Maintain clear and comprehensive technical documentation covering data sources, transformations, calculations, and report logic. • Conduct thorough testing and validation to ensure data accuracy, troubleshoot issues, and confirm reporting outputs meet defined requirements. • Collaborate with data analysts, data engineers, and other technical partners to understand dependencies, refine requirements, and deliver reliable reporting solutions. • As needed, provide guidance and training to end users to support adoption and enable effective self-service reporting capabilities. • Stay current with Power BI features, platform enhancements, and industry best practices to continuously improve reporting solutions.

Company Description Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. About the Role We’re looking for a Senior Analytics Engineer to join our Network Data Solutions team. In this role, you will combine telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products that enable our network and engineering teams to make informed, data-driven decisions. You’ll work closely with network operations, engineering, and technology partners to understand their needs, document requirements, and translate them into scalable data solutions. You’ll also analyze existing processes and data pipelines to identify improvement opportunities — proposing smarter, faster, and more reliable ways to deliver insights that drive network performance, reliability, and operational efficiency. You will leverage your expertise in data design, data engineering (ETL/ELT), and business intelligence to develop solutions from beginning to end. Key Responsibilities - Develop standards and ways of working for the Analytics Engineering team for Network Data Solutions, with speed to delivery, quality products, scalability, reliability, and observability in mind. - Partner with network and technology stakeholders to understand business objectives, challenges, and data requirements across areas such as network performance, reliability, capacity, and customer experience. - Develop and maintain deep knowledge of telecom data domains and source systems, including network inventory, provisioning, assurance, fault, and performance data. - Lead the creation of BTS (BRD Technical Specification) documentation, translating business logic into clear technical solutions. - Design, build, and maintain robust data products that support operational and strategic reporting — from ingestion through transformation, modeling, and visualization. - Evaluate existing data processes and models to identify opportunities for standardization, optimization, and automation. - Propose and implement innovative solutions that improve data accessibility, quality, and usability for network teams. - Develop scalable data models using dbt and Snowflake aligned to modern data architecture principles. - Build and orchestrate ETL/ELT pipelines in Azure Data Factory and Microsoft Fabric, ensuring efficiency and reliability. - Write and optimize SQL and Python code for advanced data manipulation, automation, and validation. - Facilitate UAT (User Acceptance Testing) with business partners to ensure data solutions align with real-world operational needs. - Design and deliver dashboards and reports using Power BI, Sigma, and Tableau that translate complex network data into actionable insights. - Collaborate with data engineers, analysts, and architects to maintain alignment across the broader data ecosystem. - Serve as a subject matter expert (SME) for network-related data and analytics, mentoring others on telecom-specific concepts, sources, and logic. Qualifications Required Skills & Experience: - Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience). - Minimum of seven (7) years of experience in analytics engineering, data engineering, or BI roles — preferably supporting telecom or network operations. - Strong proficiency in SQL, Snowflake, dbt, and Python for data transformation and automation. - Hands-on experience with Azure Data Factory and Microsoft Fabric for pipeline orchestration and data lakehouse management. - Advanced experience building and optimizing Power BI, Sigma and/or Tableau dashboards. - Deep understanding of telecom data domains, including (examples you can customize): - Network inventory and topology systems (e.g., NMS, OSS, GIS) - Fault, performance, and capacity management data - Provisioning, activation, and service assurance systems - Proven ability to analyze complex business problems, identify gaps in existing processes, and propose scalable data solutions. - Strong communication and documentation skills, with the ability to bridge business and technical perspectives. Preferred Skills: - Familiarity with CI/CD tools (e.g., GitHub, Azure DevOps). - Experience implementing data quality frameworks and metadata management practices. - Background in network engineering analytics, service performance monitoring, or customer experience analytics. - Knowledge of telecom industry KPIs and metrics (e.g., uptime, MTTR, capacity utilization, throughput, etc.). Estimated base salary range: $95,100 - $146,300 USD/annually. The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan. Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. Benefits, Rewards & Wellness - Excellent Health, Dental & Vision Insurance - Retirement 401(k) Savings Plan - Generous paid time off policy including paid parental leave Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.