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

Fortress Information Security

Data Analyst

Orlando, FL · On-site +1

$89K - $127K/yr

Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications ... Experience using Python, Node.js, or similar scripting languages for reporting automation or ...

SuperbTech

Senior Retail Pricing Analyst

Orlando, FL · On-site +1

$75 - $80/hr

Experience with Python for data analysis and reporting automation * Exposure to cloud-based data ... Remote candidates may be considered based on experience and market availability * Interview process ...

SuperbTech

Senior Retail Pricing Analyst

Orlando, FL · On-site +1

$75 - $80/hr

Experience with Python for data analysis and reporting automation * Exposure to cloud-based data ... Remote candidates may be considered based on experience and market availability * Interview process ...

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All JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Orlando, FL

Remote Data Analyst Python information

See Orlando, FL salary details

$31.7K

$77.1K

$127K

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 Orlando, FL is $77,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,600.00 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 Orlando, FL? For Remote Data Analyst Python jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in Orlando, FL look for? The top searched job categories for Remote Data Analyst Python jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Data Analyst Python jobs? Cities near Orlando, FL with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you
Data Analyst

Data Analyst

Fortress Information Security

Orlando, FL • On-site, Remote

$89K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

Data Analyst
Location: Remote
Salary Range: $89,501- $127,186 per year, depending on experience and qualifications.
Employment Type: Full-Time
Clearance: Ability to obtain and maintain a Secret U.S. Security Clearance (required)
What you can expect as the Data Analyst at Fortress...
The Data Analyst supports client delivery and internal business operations by developing scalable, accurate, and actionable reporting solutions that help clients assess and manage supply chain risk. This role partners closely with stakeholders across Professional Services, Product, and Engineering to design dashboards, reporting models, and data visualizations. The ideal candidate brings strong SQL and business intelligence expertise combined with a commitment to reporting quality, query performance optimization, and scalable data modeling practices. This is a compelling opportunity for a data professional looking to work independently in a fast-paced remote environment with direct exposure to both commercial and government clients.
Responsibilities Include
  • Develop and maintain dashboards, reports, and visualizations that enable clients and internal stakeholders to make informed supply chain risk management decisions.
  • Design, build, and maintain reporting data models and semantic layers to support scalable analytics and reporting solutions.
  • Write, optimize, and maintain performant SQL queries across relational and NoSQL data sources, including PostgreSQL and MongoDB.
  • Translate stakeholder reporting requirements into intuitive and actionable dashboards and reporting outputs.
  • Create and maintain reporting solutions within Looker and support future business intelligence platform transitions as needed.
  • Aggregate, validate, and analyze data from multiple systems to ensure reporting accuracy and consistency.
  • Automate recurring reporting processes and improve reporting efficiency using scripting languages such as Python or Node.js.
  • Deliver Excel-based reporting outputs and automate refresh processes using ODBC connections where appropriate.
  • Identify, investigate, and assist in resolving data integrity and reporting issues proactively.
  • Maintain high standards for reporting accuracy, dashboard usability, and query efficiency across analytics deliverables.
  • Collaborate with Product and Engineering teams to improve reporting quality, data accessibility, and analytics capabilities.
  • Communicate reporting logic, analytical findings, and technical concepts clearly to technical and non-technical stakeholders.
  • Prioritize and manage multiple reporting requests and deadlines with minimal supervision in a remote work environment.
  • Continuously identify opportunities to improve dashboard usability, reporting automation, and stakeholder adoption.
  • Independently leverage AI-enabled tools and prompt refinement techniques to improve efficiency, reporting quality, analysis, and documentation workflows.

Minimum Qualifications
  • 3+ years of experience developing dashboards and reporting solutions using business intelligence platforms such as Looker, Power BI, or Tableau.
  • Strong experience designing reporting data models and writing complex SQL queries.
  • Experience optimizing SQL query performance and troubleshooting reporting efficiency issues.
  • Experience working with PostgreSQL and MongoDB databases.
  • Experience using Python, Node.js, or similar scripting languages for reporting automation or dataset manipulation.
  • Experience translating business requirements into scalable reporting and visualization solutions.
  • Ability to communicate technical concepts, reporting logic, and analytical findings to non-technical stakeholders.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Demonstrated ability to manage priorities and work independently in a remote environment.
  • Strong attention to detail and commitment to reporting accuracy and data quality.
  • Availability to work primarily during East Coast business hours.
  • Ability to obtain and maintain a Secret U.S. Security Clearance (required).
  • Excellent written and verbal communication skills.

Preferred Skills
  • Advanced experience with Looker and LookML.
  • Experience supporting business intelligence platform migrations or reporting tool transitions.
  • Experience using Jira or similar project tracking tools.
  • Experience improving reporting automation and operational reporting workflows.
  • Ability to balance multiple priorities and stakeholder requests in a fast-paced environment.
  • Familiarity with AI-assisted productivity and analytics workflows.
  • CompTIA Security+ certification or familiarity with cybersecurity and supply chain risk management concepts.

Education
  • Bachelors Degree or equivalent professional work experience required.

Employee Benefits:
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave

Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Pay Range: $89,501 - $127,186 per year

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