Senior Manager, Business Intelligence and Analytics

Job Details

Description

Join NDX National Dentex - a leading healthcare organization specializing in the dental industry. We offer a full spectrum of specialized products, services, and technologies to address any dental restoration need. Currently, we have 50 labs throughout the country. Our team is growing, and we are hiring a number of key positions within our organization including this opportunity for a Senior Business Intelligence Analyst – Operations Finance. This is a remote position. Prefers the candidate to be located in South Florida.

The regular hours for this position are from 8:00 AM to 5:00 PM, Monday through Friday, and subject to change from time to time.

This is a full-time position featuring employee benefits including: health, dental, vision, disability, and life insurance; paid holiday, vacation, and sick time; 401K with company contribution; and tuition reimbursement!

Job Duties

• Strategic Leadership: Develop and execute the Business Intelligence and Analytics roadmap aligned with company goals. Identify opportunities to leverage data in driving key initiatives and innovation.
• Leadership & Strategy:
• Define and execute the BI and analytics strategy aligned with business goals, identifying key performance indicators (KPIs) and metrics for the business.
• Collaborate with senior leadership to understand business needs and provide data-driven insights that influence strategic decision-making.
• Stay current with emerging BI trends and technologies, and continuously evaluate and recommend new tools, technologies, and practices to improve the company’s analytics capabilities.
• Leadership & Team Management:
• Lead and mentor a high-performing team of analysts and BI professionals. Foster collaboration, innovation, and professional development.
• Provide guidance on best practices in data analysis, data visualization, and reporting.
• Foster a collaborative team environment, encouraging innovation, knowledge sharing, and continuous learning.
• Project & Resource Management:
• Manage analytics and data-related projects, ensuring timely delivery, alignment with business objectives, and resource optimization.
• Develop and manage project plans, ensuring clear milestones and performance metrics.
• Collaborate with IT and other departments to ensure the smooth deployment and integration of data systems and tools.
• Project & Stakeholder Management:
• Lead key analytics projects from inception to completion, ensuring they meet business requirements, delivered on time, and within budget.
• Work closely with IT teams to ensure that the data infrastructure and BI tools are scalable, reliable, and optimized for performance.
• Manage vendor relationships and ensure that external BI tools, platforms, or consultants are effectively leveraged.
• Business Partnering & Collaboration:
• Partner with cross-functional teams including sales, marketing, finance, and operations to ensure analytics support their respective business objectives.
• Drive the adoption of self-service analytics tools across the business, empowering teams to make data-driven decisions independently.
• Lead regular data review meetings with stakeholders, presenting insights, metrics, and recommendations for improvements.
• Function as a trusted advisor on all things related to data and analytics, guiding teams and executives in making data-driven decisions.
• Tool Optimization: Evaluate, recommend, and implement BI tools and technologies to enhance efficiency and scalability.
• Data Governance: Ensure data accuracy, security, and compliance with relevant regulations and policies.
• Ensure compliance with data protection regulations and best practices.
  

Skills Required

• Leadership Skills:
• Proven record of leading a team of analysts and BI professionals.
• Technical Skills:
• Proficiency in BI tools (Power BI Required)
• Advanced spreadsheet skills including pivot tables, sensitivity analysis, look-up functions, complicated formulas, importing/exporting data and creating and editing macros.
• Experience with financial modeling and forecasting tools.
• Analytical Skills: The ability to analyze and interpret complex data and convert it into digestible insights.
• Business Acumen: A solid understanding of financial concepts, accounting principles, and how various metrics impact the overall performance of a business.
• Communication Skills: The ability to present complex data in a clear and concise manner to stakeholders who may not have a technical background.
• Attention to Detail: Ensuring that financial data is accurate and comprehensive, which is critical in financial analysis.
• Communication Skills:
• Ability to translate complex business data into simple, actionable insights.
• Strong written and verbal communication skills to present findings to business leaders and stakeholders.
• Problem-Solving:
• Ability to identify trends, anomalies, or inefficiencies in data and develop solutions to improve performance.
• Project Management:
• Strong organizational and time-management skills to manage multiple reporting tasks and projects simultaneously.
  

Qualifications

Bachelor's degree in Business, Computer Science, Engineering, Mathematics, or related field (Master’s preferred).

7 years of experience in data analytics, data science, or a related field, with at least 3 years in a leadership or management role.

• Proven track record of leading analytics teams and driving business impact through data insights.
• Exceptional leadership and team management skills, with experience building high-performing teams.
• Proficiency in Excel
• Expertise in data modeling, ETL processes, and database management.
• Experience with data integration tools and data warehousing concepts.
• Experience working with ERP & Operational Systems
• Experience with financial reporting and analysis to understand financial metrics and KPIs
• Excellent communication and collaboration skills.
• Familiarity with data warehousing, big data technologies, and cloud platforms (e.g., AWS, Azure).
• Solid understanding of financial concepts, accounting principles, and performance metrics.
• Proven experience in developing and executing data strategies that drive business value and performance.
• Strong background in managing teams and delivering data-driven solutions at scale.
• Soft Skills:
• Exceptional problem-solving and critical-thinking abilities.
• Effective communication and presentation skills with the ability to simplify complex data for non-technical audiences.
• Proven ability to manage and mentor a diverse team, fostering a collaborative and innovative environment.
• Strong organizational and time-management skills, with the ability to manage multiple projects and deadlines effectively.