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Data Analyst Python Sql Jobs in Jacksonville, FL

Danaher

Digital Analyst Internships

Jacksonville, FL · On-site

$92K - $109K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Nymbus, Inc.

Data Migration Analyst

Jacksonville, FL · Remote

This includes analyzing source data from donor core systems, defining data requirements, mapping ... Use SQL and other programming languages to map source data, define transformation logic, and ...

Canoe Intelligence

Data Analyst, Private Markets

Jacksonville, FL · On-site +1

$70K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst, Private Markets LOCATION: Hybrid in New York City or Jacksonville SALARY : $70,000 ... Exposure to SQL or data platforms is a bonus, but not required. What You'll Get: * Medical, dental ...

Snowrelic Inc

SQL Developer

Jacksonville, FL · On-site

$42 - $57.50/hr

Data analysis and reporting. SSIS Tasks: * Building ETL packages to extract data from various sources (including Oracle databases). * Transforming data to fit target schema requirements. * Loading ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Jacksonville, FL

Data Analyst Python Sql information

See Jacksonville, FL salary details

$31.5K

$76.6K

$126K

How much do data analyst python sql jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst python sql in Jacksonville, FL is $76,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Jacksonville, FL?

For Data Analyst Python Sql jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Jacksonville, FL look for?

The top searched job categories for Data Analyst Python Sql jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Data Analyst Python Sql jobs?

Cities near Jacksonville, FL with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,572 per year, or $36.8 per hour.

Fabrication Data Analyst

Industrial Electric Manufacturing

Jacksonville, FL • On-site

Full-time

Posted 5 days ago

Job description

At IEM, we're not just building innovative electrical distribution systems, we're shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what's possible. Whether you're an experienced professional or just starting out, you'll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world's most dynamic markets.
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.

Why Join IEM
At IEM, you'll join a team that powers some of the world's most ambitious projects. We're engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you're driven, collaborative, and ready to make an impact, we'd love to hear from you. Your creativity and passion can help us achieve great things-come be part of the journey.
Learn more about IEM at https://www.iemfg.com
We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers
Recruiting Scams
Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact
Non-Discrimination Statement
IEM does not discriminate against any applicant based on any characteristic protected by law.
Privacy
Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.

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