Analyze complex data sets to provide insights for decision-making, assess organizational strategies, and utilize various tools and applications to transform raw data into impactful business information.

Role Description We are hiring a Microsoft BI (Fabric) Engineer to join our Report Practice. In this role, you will design and build modern analytics solutions on Microsoft Fabric and Power BI for our clients, covering Lakehouses, Warehouses, semantic models, pipelines, notebooks, and AI-enabled experiences. This is a client-facing consulting role: you will run workshops, lead requirements gathering, and present to senior stakeholders. We are looking for someone who already works in an AI-forward way, using modern AI tools to deliver faster rather than just talking about them. Duties / Responsibilities - Design and build Microsoft Fabric and Azure Synapse solutions (Lakehouses, Warehouses, Pipelines, Notebooks, and semantic models) using a medallion architecture. - Develop Power BI semantic models and reports with strong DAX, performance tuning, and row-level security (RLS). - Integrate Microsoft Dynamics 365 Finance & Supply Chain Management and Dataverse data into Fabric- or Synapse-based analytics environments. - Author SQL, Python, and PySpark code for notebook development and data transformation. - Build and maintain pipelines using Azure Data Factory and Synapse / Fabric Pipelines. - Manage source control, branching, and deployment using Git and Azure DevOps. - Run client-facing workshops, design sessions, and status calls; translate business requirements into solutions and present to senior stakeholders. - Build AI-enabled experiences on top of client data and use modern AI tools to speed up your own delivery. - Write clean documentation and conduct knowledge transfers for clients and team members. - Assist in pre-sales/marketing activities including but not limited to producing written content, short videos, webinars, discovery calls, and in-person presentations. - Stay current with Microsoft updates, new features, and best practices. Qualifications - 4+ years hands-on with Microsoft Fabric and/or Azure Synapse (Lakehouses, Warehouses, Pipelines, Notebooks, semantic models), including at least one solution you took to production and can speak about in detail. - Strong Power BI: DAX, semantic modeling, performance tuning, and row-level security (RLS). - Advanced SQL and Python / PySpark for notebook development. - Medallion architecture experience (Bronze / Silver / Gold). - Microsoft Dynamics 365 F&SCM or Dataverse integration experience, or willingness to ramp up quickly. - Azure Data Factory / Synapse Pipelines. - Git / Azure DevOps for source control and deployment. - Client-facing consulting experience. - Strong written and verbal communication; comfortable presenting to senior stakeholders. Preferred Qualifications - You’ve built something real with AI and can show it. A working agent, a copilot-style assistant, or an automation that saved you or a client in real time. - Microsoft AI stack experience is a plus. If you built it with something else, bring it and be ready to walk us through how and why. - Able to discuss experience with a Microsoft Fabric solution all the way to production, the kind where you handled source control and releases, kept performance and cost in check, and handled real Microsoft Dynamics 365 data. - Current certification a plus, or the ability to obtain after joining within 90 days of employment: DP-600, DP-700. Other preferred certifications include but not limited to: PL-300, AB-900, AZ-104, AZ-305. - Domain experience in manufacturing, energy, financial services, or retail. Physical Requirements - Must have the ability to work from a home office and follow work-from-home best practices. - Travel requirements up to 25% for clients, and company on-site work, retreats or workshops. Equal Employment & Opportunity Statement Avantiico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. Compensation and Company Benefits - Competitive salary + allowance + monthly performance related bonus depending on the role. - Salary commensurate with experience. - Low travel expectation/work life balance. - 99% of employee healthcare paid for by the company. - Choices of premium HMO/PPO plans. - Matching 401k plan. - Paid Vacation/Sick/Holidays. Pay Range $110,000 — $140,000 USD

Role Description The Business Intelligence Analyst builds and maintains the analytical foundation that connects marketing activity, market dynamics, and commercial performance to business decisions. This role translates complex data into actionable insights, enabling more effective go-to-market strategies, product prioritization, and investment decisions. It serves as a critical bridge across Marketing, Product, Sales, Finance, and Service to ensure alignment around a single, data-driven view of performance and opportunity. Key Responsibilities - Marketing & Commercial Analytics Architecture - Define and standardize core marketing and commercial KPIs across the organization - Build and maintain dashboards and reporting infrastructure to track performance - Establish data definitions, governance practices, and sources of truth - Ensure alignment across Marketing, Sales Operations, and Finance on metrics and reporting - Ensure data integrity by reconciling discrepancies across systems (CRM, Finance, Marketing tools) - NPI Performance Tracking - Own end-to-end NPI performance tracking and reporting across: - Revenue performance - Customer adoption - Funnel progression - Regional performance trends - Conduct post-launch performance analysis - Identify key drivers of performance, risks, and opportunities, and recommend corrective actions - Support continuous improvement of launch processes through data-driven insights - Market Intelligence - Build and maintain market models (TAM / SAM / SOM) to inform strategic planning - Monitor and synthesize competitive landscape (features, pricing, positioning, trends) - Develop customer segmentation and persona models to support targeting and positioning - Synthesize third-party research and internal data to assess market attractiveness and company position - Design and conduct market research to address key business questions - Commercial Insights Generation - Mine internal customer and revenue data to identify adoption trends, customer behavior, and growth opportunities - Conduct win/loss analysis to identify drivers of deal outcomes - Support pricing strategy through value analysis and price sensitivity insights - Model adoption curves and growth scenarios for key products and segments - Identify revenue opportunities, commercialization gaps, and portfolio risks - Executive & Business Reporting - Deliver insights and materials for: - Bi-weekly and monthly business reporting - Monthly and Quarterly Business Reviews (MBRs) - Annual Operating Plan (AOP) development - Translate complex datasets into clear, concise, and decision-ready insights for leadership - Support Product Council and strategic planning discussions with data-driven recommendations - Cross-Functional Partnership - Partner with Marketing, Product Management, Sales, Service, Finance, and Medical Education to identify and prioritize analytical needs - Enable data-driven decision-making across the commercial organization - Quality & Culture - Remain up to date and comply with all Quality System procedures relevant to the role, ensuring adherence to company standards and regulatory requirements - Contribute to the team's success by embracing our North Star guiding principles and behaviours, actively participating in a culture that puts our Patient first. Demonstrate exceptional teamwork, agility, accountability, and respect, cultivating an environment where collaboration and continuous improvement thrive. Qualifications - Bachelor’s degree in Business, Marketing, Economics, Data Analytics, or related field - 2–5 years of experience in marketing analytics, business analytics, commercial analytics, or related role - Experience in healthcare, medical devices, or B2B technology environments preferred Requirements - Strong analytical skills with ability to synthesize complex datasets into actionable insights - Experience working with large datasets across CRM, financial, and marketing systems - Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau or similar) - Familiarity with CRM systems (e.g., Salesforce) and marketing platforms (e.g., HubSpot or similar) - Experience building dashboards, reports, and KPI frameworks - Understanding of data structure, data quality, and governance principles - Ability to identify trends, patterns, and root causes from data and translate these into clear business recommendations - Comfortable working with ambiguity and incomplete data - Strong attention to detail with a commitment to data accuracy Skills & Competencies - Strategic and analytical thinking and data interpretation - Business partnership and collaboration - Clear communication and structured presentation effectiveness - Execution discipline and process ownership - Attention to detail and data accuracy - Problem-solving and continuous improvement mindset - Sense of urgency and accountability Physical Demands While performing the duties of this job, the employee is regularly required to sit, talk, see, and hear. The employee is regularly required to work on a keyboard and computer. Work Environment This position is designated as remote. Candidates located near one of our office locations may work in a hybrid arrangement, combining remote work with in-office presence as appropriate. The role primarily involves working from a home office, requiring a quiet and distraction-free environment suitable for confidential work, frequent video and phone calls, and focused tasks. The employee must have access to a reliable internet connection and an ergonomically appropriate workspace. Typical work conditions include prolonged periods of sitting, extensive use of a computer, and frequent interaction via digital communication tools. Travel Requirements Limited travel may be required to support team collaboration, business meetings, and key planning activities. Travel frequency will vary based on business needs. Pay Transparency Pursuant to the requirements of applicable State laws and regulations, the starting salary range for this position is $90,000 - 95,000 USD. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Compensation and Benefits - Generous compensation and benefits packages including health benefits - 401k contribution - 7 paid holidays + 2 floating holidays of your choosing - Generous paid time off - Tuition reimbursement assistance program - Eligibility for performance-based bonuses or commissions, where applicable - And more EEO Statement Natus Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

• Implement data and BI solutions (pipelines, data marts, reporting and visualization) aligned with SGS data governance, standards, and best practices • Apply Agile methodologies • Develop and maintenance (evolutive, corrective and adaptative) of data and business intelligence projects as data warehouses or data marts • Apply CI/CD approach to streamline the development workflow • Ownership of the activities you will be involved • Stay up to date with latest data trends by attending events and taking relevant training • Contribute to the continuous improvement of the SGS Data & BI Framework