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Remote Data Analyst Jobs in Florida (NOW HIRING)

As a Data Insight Analyst , you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire ...

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 will be responsible for leveraging analytics to drive key performance metrics, identify operational ...

$50 - $60/hr

Join our team to help train the next generation of AI while enjoying the flexibility of remote work ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Showing results 1-20

Remote Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do remote data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Florida? The most popular types of Data Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Data Analyst jobs? Cities in Florida with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Florida as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 100% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
Data Reporting Analyst (HealthTech)

Data Reporting Analyst (HealthTech)

AssistRx

Orlando, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


AssistRx rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

66th of 204 rated it services


Job description

At AssistRx, we combine technology and talent to accelerate patient access to therapy. Our advanced hub solutions simplify the patient journey, connect prescribers, pharmacies, and manufacturers, and empower providers to make faster, data-driven decisions.
Every day, our team uses data to bridge the gap between patients and the treatments they need. Join us, and be part of a company that transforms data into meaningful outcomes - ensuring that patients get on therapy, stay on therapy, and achieve better health.
As a Data Insight Analyst, you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire, manage, and analyze data - you'll also help shape how our internal teams, clients, and partners understand and act on it.
In this role, you'll lead electronic data partner onboarding, ensure smooth implementations, and act as the go-to expert for all things data quality. You'll collaborate across departments to ensure data accuracy, accessibility, and strategic value - empowering stakeholders with the information they need to make a measurable impact.
What You'll Do
  • Transform Data into Insight: Develop reports, dashboards, and analytics using SQL, Tableau, Excel, and Salesforce data to reveal trends, relationships, and actionable business intelligence.
  • Deliver Data Storytelling: Go beyond numbers by using visualizations and narrative context to explain findings and guide decisions.
  • Ensure Data Excellence: Review and QA all data outputs to ensure accuracy, consistency, and reliability before sharing with internal or external stakeholders.
  • Be a Partner to Clients: Communicate directly with customers to understand their data needs, resolve quality issues, and meet key deadlines.
  • Lead Implementations: Manage the onboarding and configuration of electronic data trading partners, ensuring a seamless setup and successful integration.
  • Maintain Data Quality: Research, identify, and resolve data inconsistencies or anomalies; provide clear documentation and process improvements.
  • Educate and Empower: Lead web-based training sessions with clients and partners on data specifications, helping them understand requirements and best practices.
  • Be the Expert: Stay up to date on evolving data specifications and act as a trusted resource for both internal teams and clients.

Requirements
Education & Experience
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field (Master's preferred).
  • 3+ years of experience in a data analyst, data quality, or business intelligence role.
  • Experience in healthcare, pharmacy, or health-tech data environments highly preferred.
  • Proven experience building dashboards and analytics in Tableau and Salesforce.
  • Strong SQL and Excel skills required (advanced functions, queries, lookups, and automation techniques).
  • Familiarity with ETL processes, data mapping, or partner onboarding preferred.

Technical Skills
  • Expertise in querying and manipulating large data sets using SQL and other BI tools.
  • Proficiency in data visualization platforms such as Tableau (or comparable tools like Power BI).
  • Understanding of data warehouses, data modeling, and data quality frameworks.
  • Working knowledge of Salesforce reporting and data integrations a plus.
  • Ability to translate business questions into data-driven analyses.

Professional Attributes
  • Self-starter who takes initiative and ownership of projects.
  • Exceptional attention to detail and accuracy under tight deadlines.
  • Strong written and verbal communication skills - especially in translating data into clear insights.
  • Client-facing professionalism with the ability to manage multiple stakeholder priorities.
  • Thrives in an entrepreneurial, fast-paced, and evolving environment.
  • Must be extremely responsive, adaptable, and results-oriented with a strong sense of urgency.

Benefits
  • Supportive, progressive, fast-paced environment
  • Competitive pay structure
  • Matching 401(k) with immediate vesting
  • Medical, dental, vision, life, & short-term disability insurance

AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.
All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position.
AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

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