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Remote Data Analyst Python Jobs in Lakeland, FL (NOW HIRING)

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Analyst, Senior Data

Lakeland, FL · On-site +1

$79K - $100K/yr

The Contact Center Analytics & Solutions team is looking for highly motivated Sr. Data Analyst who ... Other programing knowledge skills (Python) * Project management experience * Familiarity with other ...

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 ...

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Text and Speech Analyst

Tampa, FL · Remote

$80K - $110K/yr

AI GOVERNANCE AND SECURITY · Ensure data quality and integrity as they apply to text and speech ... Python, C++, Java, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. · ...

Remote Job Type: Contract Job Summary: We are looking for an experienced Business Analyst to drive ... Data Analysis & Reporting: Gather, interpret, and visualize data to provide insights for strategic ...

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Remote Data Analyst Python information

See Lakeland, FL salary details

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$77K

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

As of Jun 27, 2026, the average yearly pay for remote data analyst python in Lakeland, FL is $77,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,400.00 per year, depending on experience, location, and employer.

How can I make $2000 a week working from home?

A remote data analyst can earn $2000 or more weekly by working on multiple freelance projects, consulting for clients, or securing high-paying contracts that leverage skills in Python, data visualization, and statistical analysis. Building a strong portfolio, gaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities.

What is the meaning of the word remote?

In the context of a remote data analyst role, 'remote' means working outside of a traditional office environment, often from home or another location of the employee's choice. It allows for flexible scheduling and requires strong communication skills and proficiency with digital collaboration tools.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the best remote control for Alzheimer's patients?

A remote data analyst role involves working with data tools and software, but it does not relate to remote controls for Alzheimer's patients. For managing Alzheimer's, specialized remote controls with simplified interfaces, large buttons, and voice-activated features are recommended to assist patients with cognitive impairments. Consulting healthcare professionals or caregivers can help identify the most suitable devices based on individual needs.

What is the meaning of remote in one word?

In the context of a remote data analyst Python role, 'remote' means working outside a traditional office environment, typically from any location with internet access. It allows flexibility in work setting and often involves virtual collaboration tools. The term emphasizes location independence for the job.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What are popular job titles related to Remote Data Analyst Python jobs in Lakeland, FL? For Remote Data Analyst Python jobs in Lakeland, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in Lakeland, FL look for? The top searched job categories for Remote Data Analyst Python jobs in Lakeland, FL are:
What cities near Lakeland, FL are hiring for Remote Data Analyst Python jobs? Cities near Lakeland, FL with the most Remote Data Analyst Python job openings:
Healthcare Data Analyst (Remote Opportunity)

Healthcare Data Analyst (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability program. In this role, you will analyze healthcare data, support data mapping and validation, and help translate operational and reporting needs into actionable insights for delivery teams and stakeholders. You will work across structured data, interoperability workflows, and reporting requirements in support of mission outcomes.
The candidate must reside within the continental US.
Responsibilities:
  • Analyze healthcare and operational data to support reporting, validation, troubleshooting, and decision-making.
  • Support data mapping, data quality review, and reconciliation across internal and external systems.
  • Collaborate with business and technical teams to define data requirements, reporting needs, and analytical outputs.
  • Create queries, reports, dashboards, and data summaries to support program visibility and operational insights.
  • Assist with validating data transformations, interface outputs, and data exchange results.
  • Document data definitions, rules, assumptions, and quality considerations.
  • Identify trends, anomalies, and issues in data sets and communicate findings clearly to stakeholders.
  • Support user acceptance, defect triage, and testing activities where data validation is required.
  • Work closely with product, engineering, and QA teams to ensure data integrity across releases and workflows.
  • Help maintain repeatable analysis approaches and reporting processes.

Requirements:
  • A minimum of 5 years of experience in data analysis, reporting, business intelligence, or related roles.
  • Strong SQL skills and experience working with relational data sources.
  • Exposure to FHIR, HL7, CCDA, or healthcare data integration workflows.
  • Experience analyzing healthcare, operational, or enterprise data in complex environments.
  • Ability to interpret business needs and convert them into analytical deliverables.
  • Experience with data quality review, reconciliation, and validation practices.
  • Strong written and verbal communication skills for technical and business audiences.
  • Experience using reporting, dashboard, or data visualization tools.
  • Strong attention to detail and ability to work across multiple priorities.
  • Bachelor's degree in Data Analytics, Information Systems, Public Health, Mathematics, or a related field, or equivalent experience.
  • Ability to obtain a Government clearance.

Additional Qualifications:
  • Experience with Department of Veterans Affairs, federal data programs, or healthcare reporting environments is preferred.
  • Familiarity with healthcare data models, interoperability standards, or clinical data exchange is a plus.
  • Experience supporting Agile teams, testing activities, or requirements analysis is desirable.
  • Experience with BI tools, Python, or advanced analytics approaches is desirable.

Benefits:
  • Medical/Dental/Vision
  • 401k with Matching
  • Corporate Laptop
  • PTO + Federal Holidays
  • Training opportunities
  • Remote opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.