Enterprise Analytics Lead

Description

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.

We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!

NeoGenomics is looking for a Enterprise Analytics Lead who wants to learn to continue to learn in order to allow our company to grow. This is remote position with a Monday - Friday, day shift.

Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:

As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Position Summary:

As the Enterprise Analytics Lead you will play a crucial role in optimizing business processes and decision-making through advanced quantitative and qualitative analysis. You will partner with senior leaders, lead requirements gathering, create and maintain reporting dashboards, and provide actionable insights through proactive communication.

Responsibilities:

• Design, develop, and maintain reports, dashboards, and visualizations for senior leaders to use in the management of functional activities
• Translate business objectives into scalable analytics architecture and data-driven solutions
• Utilize statistical analysis, optimization techniques, and mathematical modeling to analyze complex business problems and provide data-driven solutions
• Apply advanced analytics and data mining techniques to identify trends, forecast outcomes, and recommend improvements
• Ensure analytics solutions are aligned with KPIs and business goals across departments
• Assist in decision-making processes by providing insights and recommendations based on thorough analysis of data
• Work closely with business units to gather requirements and define metrics and KPIs
• Translate business questions into technical solutions using best-in-class analytics methodologies
• Partner with business leaders, product teams, and IT to understand analytical needs and prioritize initiatives
• Act as a strategic advisor to stakeholders by identifying key metrics and recommending data-informed decisions

Education, Experience & Qualifications:

• Bachelor's Degree in Operations Research, Mathematics, Statistics, Engineering, Data Science, or related field or equivalent work experience required; Master's degree preferred
• 5 or more years of experience in operations research, data/business analytics, data science, or reporting and analytics functions with 3 or more years working with analytics platforms such as PowerBI, Tableau, SPSS, SAS, etc.
• Familiarity with Agile methodologies, data cataloging, and metadata management
• Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders
• Ability to work collaboratively in a team environment and adapt to changing priorities
• Strong knowledge of healthcare, diagnostic lab business, and the pharma/biopharma industries
• Experience within medical diagnostics, biotech, clinical laboratories, or healthcare industries preferred
• Familiarity with biotech operations systems (LIMS, LIS, ELN, etc.)

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.