ZipRecruiter

Log In

2

Remote Data Analysis Jobs in Florida (NOW HIRING)

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

L3HHCM20

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

L3HHCM20

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

TECO

Manager Financial Analytics

Tampa, FL · On-site +1

$99K - $130K/yr

X 5 Days | Onsite 4 days and remote 1 day Turn Data Into Strategy-and Lead What's Next Are you a ... Oversee development of advanced financial models (DCF, rate analysis, customer feasibility)

FIS

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Worldpay, Inc.

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

INTEGRO

Risk Manager / Senior Risk Analyst

Tallahassee, FL · On-site +1

$120K - $150K/yr

Remote flexibility available for the right candidate Division : Dealer General Warranty About CV ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

Milliman

Strategic Data Partnership Manager

Tampa, FL · Remote

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

previous page

Showing results 41-60

All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Florida

Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

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

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in Florida? The most popular types of Data Analysis jobs in Florida are:
What are popular job titles related to Remote Data Analysis jobs in Florida? For Remote Data Analysis jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Florida look for? The top searched job categories for Remote Data Analysis jobs in Florida are:
What cities in Florida are hiring for Remote Data Analysis jobs? Cities in Florida with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Florida as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Lead, Data Engineer

L3HHCM20

Melbourne, FL • Remote

$127K - $236K/yr

Other

Medical, Retirement, PTO

Posted 10 days ago

Job description

Job Title: Lead, Data Engineer 

Job Code: 41065

Job Location: Melbourne, FL or Remote Opportunity

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience.
  • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4 years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

#LI-Remote

#LI-NR1

Apply