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Senior Bi Developer Jobs in Gainesville, FL (NOW HIRING)

Advita Ortho

Senior Principle PM Data Analyst

Gainesville, FL · On-site

$77K - $97K/yr

Bachelor's degree in Biomedical Engineering, Life Sciences, Data Science, Statistics, Engineering ... Advanced proficiency with analytical and reporting tools such as Excel, Power BI, SQL, SAS, R ...

Exactech

Senior Principle PM Data Analyst

Gainesville, FL · On-site

$77K - $98K/yr

Bachelor's degree in Biomedical Engineering, Life Sciences, Data Science, Statistics, Engineering ... Advanced proficiency with analytical and reporting tools such as Excel, Power BI, SQL, SAS, R ...

All JobsBi Developer JobsSenior Bi Developer JobsSenior Bi Developer Jobs in Gainesville, FL

Senior Bi Developer information

See Gainesville, FL salary details

$36

$54

$78

How much do senior bi developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for senior bi developer in Gainesville, FL is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $58.61 per hour, depending on experience, location, and employer.

What is a Senior BI Developer?

Senior BI (Business Intelligence) Developers are experienced IT professionals who design, develop, and maintain business intelligence solutions such as data warehouses, dashboards, and reports. They work closely with stakeholders to analyze data requirements, transform raw data into meaningful insights, and help organizations make data-driven decisions. Their role often includes using BI tools like Power BI, Tableau, or SQL, optimizing data models, and mentoring junior developers on best practices.

How does a Senior BI Developer typically collaborate with cross-functional teams to deliver business intelligence solutions?

A Senior BI Developer works closely with stakeholders such as data analysts, business managers, and IT teams to understand business requirements, translate them into technical specifications, and develop scalable BI solutions. They often facilitate requirements-gathering sessions, create data models, and design dashboards or reports that meet user needs. Effective collaboration and communication are essential, as the role involves aligning technical processes with business goals and ensuring data accuracy and usability across departments.

What are the key skills and qualifications needed to thrive as a Senior BI Developer, and why are they important?

To thrive as a Senior BI Developer, you need strong expertise in data modeling, SQL, ETL processes, and analytics, often supported by a degree in computer science or a related field. Proficiency with BI tools like Power BI, Tableau, or SSRS, as well as experience with data warehousing solutions, is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualities are essential for delivering accurate, meaningful data solutions that drive strategic decision-making within organizations.

What is the difference between Senior Bi Developer vs Data Engineer?

AspectSenior Bi DeveloperData Engineer
CredentialsTypically requires a degree in Computer Science, Data Analytics, or related fields; certifications like Microsoft Certified Data Analyst are commonRequires a degree in Computer Science, Software Engineering, or related; certifications like Google Cloud Professional Data Engineer are valued
Work EnvironmentWorks primarily with BI tools, dashboards, and reporting platforms within business teamsFocuses on building data pipelines, ETL processes, and data infrastructure in cloud or on-premises environments
Industry UsageCommonly employed in finance, retail, healthcare, and other sectors for reporting and analyticsUsed across industries for data infrastructure, big data processing, and data warehousing

While both roles involve working with data, Senior Bi Developers focus on creating reports and dashboards for business insights, whereas Data Engineers build the systems that collect, store, and prepare data for analysis. Understanding these differences helps organizations assign the right talent for their data needs.

What are the most commonly searched types of Bi Developer jobs in Gainesville, FL?

The most popular types of Bi Developer jobs in Gainesville, FL are:

What are popular job titles related to Senior Bi Developer jobs in Gainesville, FL?

For Senior Bi Developer jobs in Gainesville, FL, the most frequently searched job titles are:

What job categories do people searching Senior Bi Developer jobs in Gainesville, FL look for?

The top searched job categories for Senior Bi Developer jobs in Gainesville, FL are:

What cities near Gainesville, FL are hiring for Senior Bi Developer jobs?

Cities near Gainesville, FL with the most Senior Bi Developer job openings:

Senior Bi Developer jobs near you
Infographic showing various Senior Bi Developer job openings in Gainesville, FL as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $113,186 per year, or $54.4 per hour.

Senior Principle PM Data Analyst

Advita Ortho

Gainesville, FL • On-site

$77K - $97K/yr

Full-time

Posted 6 days ago

Key responsibilities

  • Serve as the enterprise subject matter expert for post-market complaint data strategy, analytics, governance, and reporting.

  • Design and lead advanced complaint trending, signal-detection, and risk-monitoring methodologies.

  • Synthesize complex complaint, investigation, product, and quality-system data into executive-level insights and recommendations.

Job description

Senior Principle PM Data Analyst
Department: Quality
Employment Type: Full Time
Location: Gainesville, FL
Reporting To: Director PMS and QA
Description
The Senior Principal Post-Market Complaint Data Analyst serves as the enterprise subject matter expert for post-market complaint analytics, providing strategic leadership for data governance, advanced trending, signal detection, and regulatory reporting. This role translates complex global complaint and product-performance data into actionable insights, establishes analytical standards, and influences cross-functional decisions that protect patients, strengthen product quality, and support sustained regulatory compliance.
Key Responsibilities
  • Serve as the enterprise subject matter expert for post-market complaint data strategy, analytics, governance, and reporting across products and markets.
  • Design and lead advanced complaint trending, signal-detection, and risk-monitoring methodologies to identify emerging product, patient, and quality concerns.
  • Establish standardized data definitions, analytical controls, dashboards, and reporting practices that improve accuracy, traceability, and audit readiness.
  • Synthesize complex complaint, investigation, product, and quality-system data into executive-level insights and recommendations for senior leadership and governance forums.
  • Lead cross-functional analytical initiatives with Quality Assurance, Regulatory Affairs, Medical/Clinical, and Product Development.
  • Provide expert analytical support for regulatory submissions, health authority inquiries, inspections, management reviews, risk management, and post-market surveillance activities.
  • Direct complex root cause, corrective and preventive action, and product-performance analyses; challenge assumptions and ensure conclusions are supported by defensible data.
  • Evaluate and improve data quality, system controls, and end-to-end complaint analytics processes; develop scalable automation and continuous-improvement solutions.
  • Develop predictive and statistical models, where appropriate, to improve early identification of trends, outliers, and potential safety signals.
  • Define analytical requirements for systems and data integrations and partner with technical teams to validate outputs and maintain data integrity.
  • Mentor analysts and cross-functional partners, provide technical review of high-impact analyses, and build organizational capability in complaint analytics.
  • Represent the complaint analytics function on strategic programs and communicate complex findings clearly to technical, regulatory, and executive audiences.

Skills Knowledge and Expertise
Education:
  • Bachelor's degree in Biomedical Engineering, Life Sciences, Data Science, Statistics, Engineering, or a related field. Advanced degree preferred. Significant directly relevant experience may offset education.

Experience:
  • Minimum of 10 years of progressive experience in data analytics, quality, post-market surveillance, complaint handling, or a related discipline within the medical device, pharmaceutical, or biotechnology industry.
  • Minimum of 5 years of experience leading complex post-market complaint trending, investigation analytics, signal detection, or regulatory data reporting.
  • Demonstrated experience influencing enterprise-level decisions and leading cross-functional initiatives without relying on direct authority.
  • Experience supporting regulatory inspections, health authority responses, management review, risk management, and/or corrective and preventive action activities.

Functional/Technical Knowledge, Skills and Abilities Required:
  • Expert knowledge of global medical device post-market surveillance and quality-system expectations, including applicable FDA requirements and ISO 13485. Knowledge of ISO 14971 and international vigilance requirements strongly preferred.
  • Advanced expertise in statistical analysis, data visualization, and interpretation of large, complex, and imperfect data sets.
  • Advanced proficiency with analytical and reporting tools such as Excel, Power BI, SQL, SAS, R, Python, or comparable platforms.
  • Demonstrated ability to design data governance standards, analytical controls, metrics, dashboards, and scalable reporting solutions.
  • Strong business judgment and the ability to translate technical findings into clear risk-based recommendations for executive and regulatory audiences.
  • Exceptional written, verbal, presentation, stakeholder-management, and technical-mentoring skills.
  • Ability to independently lead high-impact work, manage ambiguity, prioritize competing demands, and maintain rigorous attention to data integrity and documentation.

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