Lead, Data & Analytics role

What You’ll Do: Data Modernization & Reporting Improvements Support VB Spine’s Data & Analytics modernization roadmap by delivering reporting, data integration, and analytics improvement initiatives. Streamline and enhance analytics by rationalizing legacy reports, dashboards, and datasets, while automating manual reporting processes with scalable solutions.

Develop and improve data models, reporting standards, and self-service analytics capabilities, collaborating with technology and business teams to align with enterprise standards and drive new analytics capabilities. Business Intelligence & Analytics Delivery Design, develop, and maintain dashboards, reports, data models, and analytics solutions using Power BI, SQL, Databricks, Python, and related technologies.

Partner with business stakeholders to translate requirements into reporting solutions, while standardizing KPIs, business logic, and reporting definitions. Enhance reporting accuracy and efficiency by troubleshooting data issues, supporting SDLC processes, and driving the transition to automated and self-service analytics solutions.

Analytics Governance, Data Quality & Compliance Ensure analytics solutions adhere to governance, security, compliance, and reporting standards, including KPI definitions, data models, documentation, and access controls. Collaborate with Master Data Management, Enterprise Applications, Cybersecurity, IT Compliance, and business stakeholders to resolve data quality issues and maintain effective reporting controls.

Drive continuous improvement by enhancing data accuracy, reporting consistency, analytics documentation, and delivery processes. Technical Collaboration & Project Coordination Act as a technical resource for data analytics and business intelligence projects, providing guidance, troubleshooting support, and best-practice knowledge sharing across teams.

Coordinate analytics project activities, collaborating with data analysts, data engineers, and IT teams to deliver solutions on time and aligned with business priorities. Drive continuous improvement by supporting project planning, testing, implementation, and identifying opportunities to enhance analytics processes, reporting efficiency, and solution quality.

Business Partnership & Analytics Adoption Partner with stakeholders across Manufacturing, Supply Chain, Operations, Finance, Sales, Quality, and other business functions to translate reporting and analytics requirements into actionable dashboards, reports, and insights. Support business users through training, technical support, and documentation, while promoting self-service analytics and data-driven decision-making.

Improve reporting consistency and effectiveness by refining KPI definitions, gathering user feedback, and recommending enhancements to analytics solutions. What You Bring: Bachelor's degree in Data Analytics, Information Systems, Computer Science, Engineering, Supply Chain, Finance, Business, or a related field required.

Certifications in Power BI, Databricks, Azure, data engineering, data governance, or related disciplines preferred. Minimum of 4 years of experience in data analytics, business intelligence, data engineering, data platforms, or a related discipline. Hands-on experience developing dashboards, reports, datasets, and analytical solutions using modern business intelligence tools.

Experience with Power BI, SQL, data modeling, and data visualization techniques. Working knowledge of Databricks, Python, cloud-based data integration tools, or similar technologies. Experience supporting analytics projects, gathering business requirements, and delivering reporting solutions. Understanding of data governance, data quality, reporting standardization, KPI definitions, and analytics development processes.

Experience working with ERP, MES, manufacturing, inventory, supply chain, finance, commercial, or operational data preferred. Strong analytical and problem-solving skills with the ability to troubleshoot reporting issues and identify practical solutions. Strong communication and interpersonal skills with the ability to explain technical concepts to nontechnical audiences.

Experience working in a regulated environment preferred; medical device, life sciences, manufacturing, or healthcare experience is a plus. Why VB Spine? We believe in growing talent from within. At VB Spine, you’ll get the training, mentorship, and support you need to build a strong foundation in the medical sales field.

You’ll work alongside a high-performing team, gain valuable operating room experience, and take your first step toward a rewarding and meaningful career.

Compensation

Pay for this role is competitive and based on experience, with additional factors like territory requirements, qualifications, and performance taken into account. The typical pay range for this position is $110,000 – $120,000 annually, with potential for bonuses and incentives plus benefits. VB Spine reserves the right to offer compensation outside of this listed range.

Final compensation is determined on a case-by-case basis and considers a variety of factors including experience level, skillset, and market conditions.

Benefits

Comprehensive health, dental, and vision insurance 401(k) with company match Paid time off (PTO) and holidays Ongoing training and professional development opportunities Opportunity to grow within a fast-paced, dynamic company Lead, Data & Analytics role Location: Allendale, NJ or Leesburg, VA Company: VB Spine Looking for a career where your work truly matters?

At VB Spine, you’ll be part of a mission-focused team that supports surgeons during life-changing spinal procedures. We’re looking for driven individuals ready to learn quickly, adapt under pressure, and grow in a dynamic, fast-paced environment. The Lead, Data & Analytics will support the continued modernization of VB Spine's analytics, reporting, and data platform capabilities.

This role will focus on improving existing reporting solutions, enhancing data quality, and developing scalable analytics capabilities that support VB Spine’s manufacturing, supply chain, commercial, finance, quality, and operational priorities.