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Manager Semantic Jobs in Florida (NOW HIRING)

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

New

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

... semantic models, integrating multiple source systems, defining validation rules and constraints. • Stardog and SPARQL (preferred) • Ontology versioning and change management • Ensuring the ...

Axogen

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI ...

New

Vestis

Principal Data Engineer

Jacksonville, FL · On-site

This role partners with analytics engineers, BI developers, data scientists, product managers, and business stakeholders to design, build, and scale trusted, analytics-ready datasets, semantic layers ...

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All JobsSemantic JobsManager Semantic JobsManager Semantic Jobs in Florida

Manager Semantic information

What is the difference between Manager Semantic vs Data Analyst?

AspectManager SemanticData Analyst
Required CredentialsBachelor's degree in relevant field, often with certifications in semantic technologies or data managementBachelor's degree in data science, statistics, or related field; certifications in data analysis tools are common
Work EnvironmentTeam leadership, strategic planning, overseeing semantic projectsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in tech, AI, and data-driven companies managing semantic dataUsed across industries for data interpretation and decision-making

The main difference is that a Manager Semantic focuses on overseeing semantic data projects and managing teams, while a Data Analyst primarily analyzes data to generate insights. Both roles require strong analytical skills, but the Manager Semantic emphasizes project management and semantic technologies, whereas the Data Analyst concentrates on data interpretation and reporting.

What are popular job titles related to Manager Semantic jobs in Florida? For Manager Semantic jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manager Semantic jobs in Florida look for? The top searched job categories for Manager Semantic jobs in Florida are:
What cities in Florida are hiring for Manager Semantic jobs? Cities in Florida with the most Manager Semantic job openings:
Manager Semantic jobs near you
Infographic showing various Manager Semantic job openings in Florida as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.
Sr. Analytics Engineer

Sr. Analytics Engineer

Axogen

Tampa, FL • On-site

$98K - $135K/yr

Other

Posted 2 days ago

Job description

Job Summary of the Sr. Analytics Engineer

The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI framework, and BI architecture supporting Commercial, Finance, Operations, and Executive reporting.

This role partners with Business Analysts, Finance Business Partners, Commercial Operations, FP&A, and IT to ensure consistent metric definitions, scalable reporting, and high-quality decision support. The ideal candidate has deep expertise in dimensional modeling, DAX, semantic layer design, performance optimization, Power BI, and Microsoft Fabric best practices.

Requirements of the Sr. Analytics Engineer

  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related
  • field.
  • Minimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.
  • Advanced experience developing enterprise Power BI solutions, including semantic models, reports, dashboards, and
  • governed datasets.
  • Expert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.
  • Strong understanding of dimensional modeling, data warehousing, and semantic layer design.
  • Strong SQL skills and working knowledge of relational database structures.
  • Experience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.
  • Excellent communication, stakeholder management, documentation, and problem-solving skills.
  • Ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Qualifications

  • Experience with Microsoft Fabric, Power BI Premium, or enterprise Power BI deployment models.
  • Experience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.
  • Experience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines.
  • Experience designing enterprise semantic models and KPI governance frameworks.
  • Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.
  • Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.
  • Relevant medical device or biopharma experience a plus.

Responsibilities of the Sr. Analytics Engineer

The specific duties of the Sr. Analytics Engineer include but are not limited to:

Semantic Model Ownership

  • Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive
  • reporting.
  • Design and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives,
  • metadata, and security.
  • Establish semantic model standards, naming conventions, and governance practices.
  • Define and document KPI calculations, business rules, and reporting definitions.

DAX Development & KPI Governance

  • Develop and maintain advanced DAX measures, calculation groups, and reusable business logic.
  • Partner with business stakeholders to translate requirements into governed metric definitions.
  • Ensure KPI consistency across Power BI reports, dashboards, and self-service analytics.
  • Support complex financial, sales, territory, commission, pricing, and operational reporting requirements.

Performance Optimization

  • Optimize semantic models for scalability, refresh performance, query speed, and usability.
  • Identify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.
  • Troubleshoot performance bottlenecks and implement best practices in model design.
  • Support migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.

BI Development & Reporting

  • Build and enhance enterprise Power BI datasets, reports, and dashboards.
  • Support thin-report architecture and self-service analytics initiatives.
  • Collaborate with Business Analysts and Finance Business Partners on reporting solutions.
  • Assist in development of executive, commercial, operational, and financial reporting.

Governance & Deployment

  • Support BI governance, change management, documentation, and release-management processes.
  • Manage semantic model version control, testing practices, deployment pipelines, and production release standards.
  • Utilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.
  • Maintain technical documentation, model inventories, and change logs.
  • Implement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.

Location

111 West Oak Ave., Tampa, FL  33602

#LI-AC1

Benefits/Compensation

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