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Software Developer Data Analyst Jobs in Jacksonville, FL

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

SynergisticIT

Junior Data Scientist

Jacksonville, FL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

PAX Technology

Software Developer

Jacksonville, FL · On-site

Software Developer Job Summary: We're looking an Android Payment Application Developer who will be ... Strong analytical, troubleshooting, and problem-solving skills. * Excellent verbal and written ...

Nymbus, Inc.

Data Migration Analyst

Jacksonville, FL · Remote

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ... conversion programming, or software development within a core banking or fintech environment.

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Software Developer Data Analyst information

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How much do software developer data analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for software developer data analyst in Jacksonville, FL is $43.17, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $51.68 per hour, depending on experience, location, and employer.

Can a data analyst become a software developer?

A data analyst can transition to a software developer role by learning programming languages such as Python, Java, or C++, and gaining experience with software development tools and practices. Many skills from data analysis, like problem-solving and understanding data structures, are transferable, but additional coding and development experience are typically required.

What pays more, a software developer or a data analyst?

Software developers generally earn higher salaries than data analysts due to the demand for programming skills, experience with coding languages, and involvement in software creation. Data analysts typically have lower starting salaries but can increase earnings with advanced analytics skills, certifications, and experience working with tools like SQL, Python, or R.

What cities near Jacksonville, FL are hiring for Software Developer Data Analyst jobs?

Cities near Jacksonville, FL with the most Software Developer Data Analyst job openings:

Fabrication Data Analyst

Jacksonville, FL • On-site

Industrial Electric Manufacturing
Electrical Equipment, Appliance, and Component Manufacturing • 201 - 500 employees
Learn more about Industrial Electric Manufacturingexternal

Full-time

Posted 29 days ago

Job description

Position Summary:

The Fabrication Data Analyst plays a critical role in enabling data-driven decision making across the Sheet Metal, Busbar, and Powder Coating operations. This role owns the collection, analysis, and visualization of fabrication performance data, including OEE, utilization, scrap, labor efficiency, and capacity. The analyst partners closely with the Director of Fabrication, Operations Managers, and the Fabrication Engineering team to support process implementation, standardization, and control. This role ensures that MES and OEE data are translated into timely, actionable insights that drive throughput, cost reduction, and continuous improvement.  Reports to Director of Operations. 

Key Responsibilities:

  • Collect, clean, validate, and analyze fabrication data from OEE, MES, ERP (SyteLine), and manual sources to generate accurate performance insights.
  • Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools, providing daily, weekly, and monthly visibility into production performance.
  • Monitor and evaluate KPIs including OEE, utilization, scrap, throughput, labor efficiency, capacity, and schedule attainment.
  • Support the Fabrication Engineering Manager and Operations Managers in identifying bottlenecks, trends, and systemic issues.
  • Provide detailed root-cause data analysis for downtime, quality issues, delays, or process instability.
  • Participate in process implementation and process control activities, including validation of standard work, cycle times, routings, load balancing, and line balancing.
  • Assist with configuration and optimization of MES and OEE systems to ensure accurate data capture and alignment with real workflows.
  • Support the rollout of new process standards, automation cells, and engineering changes by providing required data analysis and control tools.
  • Collaborate with Planning on capacity modeling, production forecasting, and scenario simulations for load balancing across buildings.
  • Create automated reporting systems and alert mechanisms to flag performance risks to Operations Managers and the Director of Fabrication.
  • Contribute to continuous improvement projects, supporting CI teams with data modeling, statistical analysis, and project tracking.
  • Ensure data integrity, documentation consistency, and alignment with company-wide reporting standards.

Qualifications:

  • Bachelor's degree in engineering, Industrial Engineering, Data Analytics, Manufacturing Technology, or related technical field.
  • 2-5 years of experience in manufacturing analytics, operations analysis, industrial engineering, or similar role.
  • Strong experience with ERP systems (Infor SyteLine preferred).
  • Advanced proficiency in Power BI, Tableau, Excel, and data visualization tools.
  • Strong skills in SQL, data manipulation, and database structures are an asset.
  • Understanding of manufacturing processes, preferably in metal fabrication (sheet metal, busbar, powder coating).
  • Familiarity with OEE, MES, and machine monitoring systems is preferred.
  • Experience supporting process implementation, process control, or standard work documentation is an asset.
  • Strong analytical skills with the ability to translate data into clear recommendations and actions.
  • Excellent communication skills and the ability to influence operational leaders through data storytelling.

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