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Power Bi Jobs in New Port Richey, FL (NOW HIRING)

IntelliPro Group Inc.

Financial Analyst

Tampa, FL · On-site

$32 - $36/hr

Extract, transform, and validate financial data for Power BI reporting. * Perform month-end reconciliations using advanced Excel. * Maintain SharePoint data repositories and support ETL processes.

Sonic Tools USA INC

Staff Accountant

Tampa, FL · On-site

$50K - $60K/yr

Utilize Fishbowl , Salesforce , Microsoft Excel , and Power BI to manage data, reporting, and process improvements. * Collaborate with Finance, Sales, Warehouse, Operations, and Customer Service ...

Fintech Brand

Distributor Data Analyst

Tampa, FL · On-site

$60 - $85/hr

Proficient in Power BI. This role is an in-office hybrid position in Tampa. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed ...

CACI

Knowledge Manager

Tampa, FL · On-site

Serving as the Subject Matter Expert (SME) on Microsoft Office 365 and the Microsoft Power Platform (Power Apps, Power Automate, Power BI) to deliver automated workflows, business intelligence ...

New

Fintech

Distributor Data Analyst

Tampa, FL · Hybrid

Proficient in Power BI *This role is an in-office hybrid position in Tampa. About Fintech: For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and ...

Wolters Kluwer

Senior Sales Operations Analyst

Tampa, FL · On-site

$78K - $136K/yr

Tableau, Power BI / Power Query / Microsoft Fabric, and Salesforce Analytics / CRM reporting Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates ...

Wolters Kluwer

Senior Sales Operations Analyst

Tampa, FL · On-site

$78K - $136K/yr

Tableau, Power BI / Power Query / Microsoft Fabric, and Salesforce Analytics / CRM reporting Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates ...

Wolters Kluwer

Senior Sales Operations Analyst

Tampa, FL · On-site

$78K - $136K/yr

Tableau, Power BI / Power Query / Microsoft Fabric, and Salesforce Analytics / CRM reporting Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates ...

IRT Living

VP of Revenue Management

Tampa, FL · On-site

Build and maintain advanced reporting and modeling (e.g., Power BI, Excel-based models) to monitor pricing performance, exposure, retention, and revenue risk at the property, regional, and portfolio ...

Fintech

Distributor Data Analyst

Tampa, FL · On-site

Proficient in Power BI *This role is an in-office hybrid position in Tampa. About Fintech: For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and ...

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How much do power bi jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for power bi in New Port Richey, FL is $54.45, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $59.95 per hour, depending on experience, location, and employer.

What is a Power BI?

A Power BI job involves working with Microsoft Power BI to analyze data, create visual reports, and help organizations make data-driven decisions. Professionals in this role design dashboards, develop data models, and connect various data sources to generate insights. Common job titles include Power BI Developer, Data Analyst, and BI Consultant. Strong skills in data visualization, DAX, and SQL are often required.

What are the key skills and qualifications needed to thrive in the Power BI position?

To thrive as a Power BI professional, you need strong skills in data analysis, report development, and a solid understanding of data visualization concepts, often supported by a degree in computer science, information systems, or a related field. Proficiency in Microsoft Power BI, DAX, SQL, and knowledge of data modeling tools, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills are crucial for translating business requirements into actionable insights. These competencies are vital for delivering accurate, impactful dashboards and reports that support informed decision-making within organizations.

What opportunities for career growth are available for Power BI professionals?

Power BI professionals often start as analysts or report developers and can advance to roles such as Senior Power BI Developer, Data Analyst, or Business Intelligence (BI) Manager. With experience and specialized knowledge, there are opportunities to move into leadership, analytics consulting, or broader BI architect roles. Additionally, gaining expertise in other analytics tools or data engineering can further expand your career options. Many organizations also support professional development through training, certifications, and cross-functional project work.

Is Power BI a good career?

Power BI is a popular skill for data analysts and business intelligence professionals, with strong demand across various industries. Careers in Power BI often involve data visualization, report creation, and dashboard development, requiring proficiency in data modeling and DAX formulas. Certification and experience with related tools can enhance job prospects and salary potential.

Is Power BI still in demand?

Power BI is currently in high demand as a data visualization and business intelligence tool used across various industries. Skilled professionals with knowledge of Power BI, data modeling, and DAX are sought after for roles involving data analysis, reporting, and dashboard development. The demand is expected to remain strong as organizations continue to prioritize data-driven decision-making.

Is coding required for Power BI jobs?

Power BI jobs typically do not require extensive coding, but knowledge of DAX (Data Analysis Expressions) and Power Query M language can be beneficial for creating complex calculations and data transformations. Most roles focus on data visualization, report development, and data analysis, with some positions requiring basic scripting skills. Familiarity with SQL may also be helpful for data sourcing and management.

What jobs can I get with Power BI?

With Power BI skills, you can pursue roles such as Business Intelligence Analyst, Data Analyst, Data Visualization Specialist, or BI Developer. These positions typically require proficiency in data modeling, report creation, and understanding of data sources, often complemented by certifications like Microsoft Certified: Data Analyst Associate.

What cities near New Port Richey, FL are hiring for Power Bi jobs?

Cities near New Port Richey, FL with the most Power Bi job openings:

Power Bi jobs near you
Infographic showing various Power Bi job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $113,262 per year, or $54.5 per hour.

Principal Data & AI Platform Architect - Azure Databricks

United Vein & Vascular Centers

Tampa, FL • On-site

Full-time

Re-posted yesterday

Key responsibilities

  • Design, build, and optimize batch and streaming ETL/ELT pipelines and reusable ingestion frameworks using Azure Data Factory and Databricks.

  • Architect, manage, and optimize enterprise data environments across Azure Data Lake Storage Gen2, Azure SQL, and Databricks, including implementing DataOps practices.

  • Design and develop Databricks AI/BI Dashboards and domain-specific Genie Agents, and govern Unity Catalog metric views and semantic definitions.

Job description

Reporting to the Senior Director of Data & AI, the Senior Data Architect is a hands-on technical leader responsible for the architecture, engineering, governance, and optimization of UVVC's enterprise data platform. This role will define technical standards and design scalable data pipelines, medallion data products, semantic models, and governed analytics solutions that enable trusted self-service analytics and AI-driven insights across UVVC.
Responsibilities
Data Pipeline Development & Orchestration
  • Design, build, and optimize batch and streaming ETL/ELT pipelines and reusable ingestion frameworks using Azure Data Factory and Databricks across APIs, databases, SaaS platforms, and internal systems.
  • Build scalable Delta Lake transformation frameworks using medallion architecture, Spark, and SQL.
  • Implement CI/CD, parameterization, triggers, and pipeline automation best practices.

Azure Data Platform Engineering
  • Architect, manage, and optimize enterprise data environments across Azure Data Lake Storage Gen2 (ADLS Gen2), Azure SQL, and Databricks, including serverless and classic compute strategies, cost governance, and workload isolation strategies.
  • Implement DataOps practices including testing, version control, monitoring, and documentation.

Unity Catalog, Security & Data Governance
  • Design and administer the enterprise Unity Catalog structure, including catalogs, schemas, external locations, storage credentials, groups, service principals, and ownership models.
  • Implement least-privilege access, governed tags, attribute-based access-control policies, row-level filters, and column-level masking for PHI, PII, financial, and other sensitive information.
  • Establish standards for data classification, lineage, auditability, stewardship, retention, certification, and access reviews.
  • Partner with Security, Compliance, Privacy, and business data owners to ensure data solutions align with HIPAA and organizational security requirements.
  • Govern tables, views, volumes, functions, metric views, dashboards, models, and Genie Agents through Unity Catalog.

AI/BI, Semantic Models & Genie Agents
  • Design and develop Databricks AI/BI Dashboards and domain-specific Genie Agents for clinical, operational, financial, RCM, marketing, and executive use cases.
  • Configure trusted datasets, joins, business terminology, instructions, example queries, dimensions, measures, synonyms, and approved KPI definitions.
  • Develop and govern Unity Catalog metric views and semantic definitions to ensure consistent reporting across Databricks AI/BI and Power BI.
  • Establish testing and monitoring processes for Genie Agent accuracy, data grounding, security, explainability, performance, and user adoption.
  • Ensure that AI-generated results respect Unity Catalog permissions and approved business definitions.

Databricks Architecture & Platform Ownership
  • Design and implement enterprise-grade Databricks Lakehouse Medallion architecture (Bronze, Silver, Gold layers).
  • Define and enforce data engineering standards, naming conventions, and architectural patterns across all pipelines.
  • Lead the architecture of Delta Lake design patterns, including partitioning, optimization, and data lifecycle management.
  • Establish scalable serverless and classic compute strategies, job orchestration frameworks, and workspace organization.
  • Evaluate and implement new Databricks capabilities and ensure alignment with enterprise data strategy

Cross-Functional Collaboration
  • Work closely with clinical, sales, marketing, finance, RCM, operations, HR, and IT teams to understand business needs.
  • Provide technical guidance on data engineering patterns and platform capabilities.
  • Clearly communicate progress, risks, and technical decisions to data stakeholders and leadership.

Data Modeling and Enterprise Metrics
  • Develop conceptual, logical, dimensional, and physical data models supporting clinical, operational, financial, marketing, RCM, and workforce analytics.
  • Establish conformed dimensions, master and reference data standards, governed KPIs, and reusable semantic definitions.
  • Reduce conflicting calculations and duplicate business logic across Databricks AI/BI, Power BI, and downstream applications.

Data Quality and Observability
  • Establish data-quality rules, reconciliation controls, data SLAs, pipeline observability, alerting, incident response, and root-cause-analysis processes.
  • Define standards for schema evolution, change data capture, late-arriving data, historical tracking, retries, and recovery.

Performance and FinOps
  • Monitor and optimize Databricks consumption using system tables, workload tagging, budget controls, query profiling, serverless and classic compute selection, SQL warehouse configuration, and data-layout optimization.
  • Establish cost allocation and accountability by environment, data product, department, and workload.

Qualifications
Required Qualifications
  • 8+ years of progressive experience in data engineering, data architecture, analytics engineering, or cloud data platforms, including demonstrated ownership of production Databricks architecture.
  • Demonstrated technical leadership and mentoring experience within data engineering or architecture teams.
  • Hands-on expertise with Azure Data Factory, including pipelines, mapping data flows, Integration Runtime configuration and management, triggers, and monitoring.
  • Hands-on expertise with Azure Databricks, including notebooks, Apache Spark, Delta Lake, Databricks SQL, Lakeflow Jobs, Lakeflow pipelines, and workflow orchestration.
  • Advanced SQL expertise, including complex transformations, dimensional and semantic modeling, query-plan analysis, Delta Lake optimization, Databricks SQL, and SQL warehouse performance tuning.
  • Advanced proficiency in Python and PySpark for data engineering, reusable framework development, automation, testing, and performance optimization.
  • Deep expertise in Medallion Lakehouse architecture (Bronze/Silver/Gold) and Delta Lake optimization techniques.
  • Demonstrated experience designing, implementing, and operating enterprise Databricks environments across development, testing, and production, including security, governance, deployment, performance, and cost management responsibilities.
  • Strong understanding of Databricks Unity Catalog, data governance, and security models.
  • Strong understanding of HIPAA, PHI/PII safeguards, least-privilege access, data retention, auditability, and secure healthcare data integration.
  • Experience defining data platform standards, frameworks, and best practices

Preferred Qualifications
  • Experience with AI/ML workflows, feature engineering, or model enablement.
  • Experience integrating data across EHR/EMR, CRM, patient-engagement, contact-center, marketing, finance/ERP, HRIS, and revenue-cycle platforms.
  • Experience designing enterprise data models and governed KPIs for healthcare operations, including patient volume, referrals, scheduling, conversion, provider productivity, revenue cycle, payer performance, denials, collections, labor, and clinic-level financial performance.
  • Familiarity with real-time processing (Structured Streaming) within Databricks.
  • Experience with master data management, reference data, and entity-resolution strategies across patients, providers, locations, payers, legal entities, and acquired practices.

About us:
UVVC, is a leading provider of comprehensive vein and vascular care with over 60 clinics across Arizona, Illinois, Colorado, Florida, Georgia, Texas, and expanding. Our mission is to revolutionize vascular care by delivering an all-inclusive clinic experience that addresses every aspect of lower extremity vein, vascular, and wound conditions.
United Vein & Vascular Centers (UVVC) is distinguished by its innovative approach to diagnosing and treating a variety of vascular conditions that affect the pelvis and lower extremities. With a team of committed specialists, cutting-edge medical technology, and a patient-centric approach that emphasizes minimally invasive procedures, UVVC ensures superior care and optimal outcomes for it's patients.

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