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Pharma Data Analyst Jobs in Florida (NOW HIRING)

Agile Enterprise Solutions

Data Modelling

Tampa, FL · On-site

... such as Information Technology, Pharma, Finance and Accounting, Healthcare, Engineering ... Good communication, analytical and presentation skills, problem solving skills and learning ...

Triunity Software

Finance Business Analyst

Jacksonville, FL · On-site

$100K - $110K/yr

Analyze incoming data sets and develop detailed requirements around sourcing solutions, identify ... Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and ...

Brilliant®

FL · On-site

$35 - $40/hr

Our large Pharma client is looking for a Revenue- Accounting Analyst on a Contract-to-Hire basis as ... Some accounting related tasks like reconciliations, data matching, etc. * Create monthly reports.

New

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b. Predictive Modeling: Develop and implement predictive models to define process performance. c.

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Pharma Data Analyst information

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$25.4K

$61.8K

$101.6K

How much do pharma data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for pharma data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

What are the key skills and qualifications needed to thrive as a Pharma Data Analyst?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

How to become a pharmaceutical data analyst?

To become a pharmaceutical data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as SQL, Excel, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What are the most commonly searched types of Pharma Data Analyst jobs in Florida?

The most popular types of Pharma Data Analyst jobs in Florida are:

What are popular job titles related to Pharma Data Analyst jobs in Florida?

For Pharma Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Pharma Data Analyst jobs in Florida look for?

The top searched job categories for Pharma Data Analyst jobs in Florida are:

Pharma Data Analyst jobs near you
Infographic showing various Pharma Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Supply Chain Analyst / Pharma Industry (Hybrid Work)

Jacksonville, FL • On-site

Pioneer Data
See more jobs at Pioneer Dataexternal

Contractor

Posted 2 days ago

New

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Jacksonville, FL is currently looking for an Supply Chain Analyst to join their expanding team.  
 
Job Title: Supply Chain Analyst / Pharma Industry (Hybrid Work)
Duration: 18 months contract, extendable up to 24 Months
Location: Jacksonville, FL 
Hybrid: 2-3 days/week Onsite
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Supply Network Planning Analyst
Location: Jacksonville, FL (Hybrid Preferred)
Function: Supply Chain Planning / Inventory Management
We are seeking a highly analytical and technically skilled Supply Network Planning Analyst to support end-to-end supply, inventory, and distribution planning across the value stream. 
This role combines supply network planning fundamentals with advanced analytics, reporting automation, and digital capabilities to improve visibility, service, inventory health, and decision making.
The successful candidate will partner with Supply Chain, Planning, Inventory Management, Finance, Data & Analytics, Digital, site planning teams, and downstream partners to translate business needs into feasible supply plans, actionable insights, and scalable analytics solutions.
 
Key Responsibilities
Supply Network Planning & Net Requirements
Propagate net requirements upstream and constrained supply plans downstream across conversion and distribution nodes.
Create and support network RCCP and MPS processes, incorporating capacity, risk, trade-off assumptions, and multi-site constraints.
Review planning system outputs to validate net requirements, deployment requirements, and feasible supply plans.
Communicate and hand over network RCCP, MPS, and distribution plans to site planning, CLS, and affiliate supply chain partners.
Support supply network planning processes that enable service, inventory, and cash flow objectives.

Inventory Analytics & Optimization
Analyze inventory performance across Finished Goods, Raw Materials, WIP, and SLOB inventories.
Identify inventory risks, excesses, shortages, and optimization opportunities across the end-to-end value stream.
Perform root-cause analysis on inventory and supply drivers, translating findings into actionable recommendations.
Support entitlement models, safety stock optimization, inventory reduction programs, and planning parameter improvements.
Develop scenario analyses and what-if assessments to support operational decisions, trade-off discussions, and IBP escalation.

Distribution Planning & Execution
Review distribution forecasts, plan receipts, manage inventory transfers, and coordinate movement between supply chain nodes.
Manage deployment order exceptions, including review, approval, changes, and rejection as appropriate.
Monitor STO, PO, and SO life cycles to support timely and accurate execution of supply plans.
Collaborate with regional, local, upstream, and downstream partners to execute supply plans within established parameters and guidelines.

Dashboard Development, Reporting & Digital Enablement
Design, develop, and maintain dashboards, scorecards, and self-service analytics tools using Tableau, Power BI, or similar platforms.
Automate recurring planning and inventory reporting processes to improve efficiency and reduce manual effort.
Build and maintain data workflows using Alteryx, Databricks, SQL, or similar tools.
Partner with data engineering and digital teams to improve data quality, accessibility, and integration from ERP, planning, and supply chain systems.
Support AI-enabled analytics solutions, including Microsoft Copilot Agents, Databricks Genies, or other tools that improve analytical capabilities and user experience.

Business Partnership & Operational Support
Build and maintain strong working relationships with supply chain, planning, finance, digital, site, and affiliate partners.
Communicate planning trade-offs, inventory impacts, risks, and recommendations to technical and non-technical audiences.
Support weekly and monthly planning, inventory reporting, entitlement, KPI, and governance cycles.
Respond to ad-hoc analytical requests and complete reporting deliverables accurately and on time.
 
Required Qualifications
Bachelor’s degree in Supply Chain, Engineering, Business Analytics, Information Systems, Data Science, Operations Research, or related field.
3–7 years of experience in supply chain planning, inventory management, supply chain analytics, business intelligence, or related analytical roles.
Experience translating large datasets into actionable business insights and recommendations.
Experience with at least one visualization platform such as Tableau or Power BI.
Experience with at least one data engineering or analytics platform such as Alteryx, Databricks, SQL, or similar tools.
Strong understanding of supply, inventory, distribution, or network planning processes.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
 
Preferred Qualifications
Experience with RCCP, MPS, net requirements planning, deployment planning, IBP/S&OP, or end-to-end supply network planning.
Experience with ERP and planning systems such as SAP, OMP, Kinaxis, or similar platforms.
Experience with inventory entitlement models, safety stock methodologies, SLOB management, or inventory optimization.
Experience developing Microsoft Copilot Agents, Databricks Genies, or similar AI-enabled analytics solutions.
Python or other advanced analytical programming experience.
APICS/ASCM certification such as CPIM or CSCP preferred.

What Success Looks Like
Delivers reliable supply network planning insights that improve visibility to risks, constraints, inventory opportunities, and service impacts.
Improves planning and inventory reporting through dashboards, automation, and scalable data workflows.
Supports feasible supply plans that balance service, inventory, capacity, and cash flow objectives.
Becomes a trusted analytical partner to Supply Chain, Inventory, Planning, and leadership stakeholders.