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Day Shift Python Data Analyst Jobs in Umatilla, FL

Vermeer

Manufacturing Data Analyst

Okahumpka, FL · On-site

$90 - $140/hr

Work Shift 1 - First Shift Job Summary Are you the type of person who loves to understand data flow ... A team member's day-to-day work is best done on a Vermeer campus. If work content can be ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Familiarity with Python, SQL, Power BI, Tableau, Alteryx, or similar analytics and automation ... This is a Contract Opportunity Opportunity for extension and conversion 4 Days Onsite 9:00AM - 5 ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications * Support Compliance, J-SOX and controls assurance activities through data extraction ...

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All JobsDay Shift Python Data Analyst JobsDay Shift Python Data Analyst Jobs in Umatilla, FL

Day Shift Python Data Analyst information

See Umatilla, FL salary details

$29.9K

$72.7K

$119.6K

How much do day shift python data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for day shift python data analyst in Umatilla, FL is $72,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,300.00 per year, depending on experience, location, and employer.

What cities near Umatilla, FL are hiring for Day Shift Python Data Analyst jobs?

Cities near Umatilla, FL with the most Day Shift Python Data Analyst job openings:

Day Shift Python Data Analyst jobs near you
Infographic showing various Day Shift Python Data Analyst job openings in Umatilla, FL as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 32% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,658 per year, or $34.9 per hour.

Data Modeler (Data Risk Analyst)

Apex Informatics

Ocoee, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Modeler (Data Risk Analyst)
Location : Florida Turnpike Enterprise HQ, Ocoee, FL (Onsite - 5 Days)
Roles & Responsibility Summary
This role leads the analysis, implementation, execution and on-going enhancements to business rules based on data analytic findings. Collaborates with the finance, technology, and business teams to ensure effective communication and alignment while identifying opportunities to improve controls and reduce risk.
Key Responsibilities:
  • Develop and implement advanced statistical models and machine learning algorithms to solve complex financial problems.
  • Analyze large and complex financial datasets to identify trends, patterns, and opportunities for increased controls and enhanced risk mitigation.
  • Build predictive data models for risk assessment.
  • Forecast, track, and measure key metrics.
  • Collaborating with IT and finance teams to translate data insights into actionable strategies and initiatives to implement.
  • Staying current on financial industry best practices and emerging risk factors.
  • Conducting regular security audits and penetration testing.
  • Analyzing security incidents and implementing corrective actions.

Requirements:
  • Bachelor's degree in mathematics, computer science, engineering, statistics, fintech or related field.
  • Minimum of 5 years of experience in Financial Services, with a strong focus on data intelligence and analysis.
  • Proven expertise in risk assessment, data analysis technologies and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:
  • Experience in financial services industry retail banking products
  • Experience in data analysis and financial risk management
  • Knowledge of forensic financial auditing techniques.
  • Proficiency in scripting and programming languages (e.g., Python, Bash, SQL)
  • Understanding of network security, encryption and access control principles.
  • Knowledge of machine learning and data analytics.
  • Relevant certifications such as CDA, CRMA or similar are highly desirable.

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