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Remote Numerical Analysis Jobs in Florida (NOW HIRING)

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Develop internal tools, analytics platforms, and operational dashboards for clinicians ...

Remote Senior Accountant

Orlando, FL · Remote

$70K - $90K/yr

... understand their numbers to make better financial decisions. Key responsibilities * Client ... Advisory & Analysis: Meet with clients quarterly to review financial statements and provide ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... Number of houses sold increased 119% in Q1 2026 vs Q1 2025 * Revenue increased 102% in Q1 2026 vs ...

Title Examiner - Florida (Remote)

Largo, FL · Remote

$23.37 - $31.15/hr

As a Title Examiner, you'll use your research and analytical skills to review residential property ... Pay is based on a number of factors which may include job-related knowledge, skills, experience ...

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Remote Numerical Analysis information

What are some common challenges faced by professionals in remote numerical analysis roles, and how can they be addressed?

Professionals working in remote numerical analysis often encounter challenges such as maintaining effective communication with team members, managing large datasets securely, and ensuring computational accuracy without direct on-site support. To address these, it's important to establish regular virtual check-ins, utilize secure cloud-based collaborative platforms, and keep thorough documentation of methodologies and results. Additionally, leveraging version control systems and participating in online forums can help troubleshoot issues and stay connected with peers in the field.

What is the difference between Remote Numerical Analysis vs Remote Data Analysis?

AspectRemote Numerical AnalysisRemote Data Analysis
Required CredentialsDegree in Mathematics, Statistics, or related field; often certifications in numerical methodsDegree in Statistics, Data Science, or related; certifications in data tools or analytics
Work EnvironmentPrimarily focused on mathematical modeling, simulations, and algorithm developmentPrimarily focused on data collection, cleaning, visualization, and interpretation
Industry UsageFinance, engineering, scientific research, technologyMarketing, healthcare, e-commerce, finance
Common Search & ComparisonOften compared for technical depth and mathematical focusCompared for data-driven decision making and insights

Remote Numerical Analysis involves advanced mathematical modeling and algorithm development, often in scientific or engineering contexts. Remote Data Analysis focuses on interpreting data to inform business decisions. While both roles require analytical skills, they differ in their core focus and typical industry applications.

What is remote numerical analysis?

Remote numerical analysis involves using computational and mathematical methods to solve quantitative problems, typically from a remote location. Professionals in this field analyze data, build mathematical models, and run simulations using specialized software. Working remotely allows numerical analysts to collaborate with teams or clients online, leveraging cloud computing resources and communication tools. This job is essential in fields like engineering, finance, and scientific research, where complex numerical problems need to be addressed efficiently from anywhere.

What are the key skills and qualifications needed to thrive as a Remote Numerical Analyst, and why are they important?

To thrive as a Remote Numerical Analyst, you need strong mathematical proficiency, analytical skills, and a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, as well as experience with data analysis tools and numerical modeling software, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for success in this role. These skills ensure accurate data interpretation, effective collaboration across remote teams, and the delivery of actionable quantitative insights.
What are popular job titles related to Remote Numerical Analysis jobs in Florida? For Remote Numerical Analysis jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Numerical Analysis jobs in Florida look for? The top searched job categories for Remote Numerical Analysis jobs in Florida are:
What cities in Florida are hiring for Remote Numerical Analysis jobs? Cities in Florida with the most Remote Numerical Analysis job openings:

Data Engineer - Healthcare

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Re-posted 11 days ago


Job description

Position - Data Engineer (Python + React, Healthcare Domain)

Location – Tampa/Remote

Number of positions - 2

Overview

We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.

What You'll Do

  • Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
  • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
  • Design and optimize data models, warehouses, and data processing workflows
  • Translate healthcare operational and reporting requirements into scalable data solutions
  • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
  • Monitor, debug, optimize, and maintain production data systems and applications
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering and backend development
  • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
  • Basic to strong experience with React.js frontend development
  • Experience building scalable ETL/ELT pipelines and production-grade data applications
  • Strong understanding of REST APIs and system integrations
  • Experience working with relational and/or NoSQL databases
  • Experience with data warehousing, data modeling, and large-scale data processing
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
  • Ability to work in ambiguous, real-world problem spaces
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Preferred Experience

  • Prior experience in healthcare technology or healthcare systems
  • Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
  • Experience working with healthcare workflows (clinical, operational, or administrative systems)
  • Exposure to regulated environments (HIPAA, security-sensitive systems)
  • Experience with big data technologies and distributed processing systems
  • Experience building analytics dashboards or data visualization platforms
  • Experience working with enterprise-scale data platforms and pipelines