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Remote Quantitative Data Analyst Jobs in Florida

Suncoast Credit Union

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 ... Excellent analytical and quantitative skills, including root cause and trend analysis * Ability to ...

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

Experience with marketing analytics, CRM/automation data, web analytics, and privacy-aware measurement practices This is a remote role with up to 20% travel. This role is not eligible for sponsorship.

MyFlorida

Senior Legislative Analyst

Tallahassee, FL · On-site +1

This position is not eligible for remote work. Examples of Work Performed: * Conducting policy ... Collecting and analyzing quantitative data in manual and electronic formats, including the use of ...

Royal Caribbean Group

Analyst, Senior Data

Lakeland, FL · On-site +1

$79K - $100K/yr

Perform more complex quantitative and qualitative analysis for business processes and projects ... Understanding of data warehousing concepts, relationship entity diagrams and relational databases

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Remote Quantitative Data Analyst information

What are some typical challenges faced by Remote Quantitative Data Analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a Remote Quantitative Data Analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

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

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

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

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

What are the most commonly searched types of Quantitative Data Analyst jobs in Florida? The most popular types of Quantitative Data Analyst jobs in Florida are:
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What job categories do people searching Remote Quantitative Data Analyst jobs in Florida look for? The top searched job categories for Remote Quantitative Data Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Quantitative Data Analyst jobs? Cities in Florida with the most Remote Quantitative Data Analyst job openings:
Remote Quantitative Data Analyst jobs near you
Data Analyst (Mobile App & Web Team)

Data Analyst (Mobile App & Web Team)

3B Staffing LLC

Miami, FL • Remote

Full-time

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

Job description

Data Analyst (Mobile App & Web Team)
Contract; 12 months
Remote
Must have:
Mobile App or Website Analysis
Travel / airlines is ideal; Example travel companies - Booking.com; Travelosity, Kayak
• FullStory
• Tableau, Snowflake
• Gen AI is nice to have
looking for the following:

  • Able to use Snowflake or any data warehouse to come up with SQL queries based on needs
  • Tableau experience is a plus as we use this as our data visualizer
  • Someone that has experience of analyzing data/trends for the product team on a consistent basis
  • We use FullStory to monitor front-end experience, similar to Quantum Metric or a Google Analytics, so someone that is familiar here would be great And then any experience with data modeling or finding opportunities to clean up data in our data warehouse
  • Serve as a data expert leveraging analytical and technical skills to successfully support Digital Product problems, operational needs, product support and growth, and tools development.
  • Work with stakeholders to identify opportunities for leveraging company data to drive Digital Product solutions.
  • Mine data and execute quantitative analyses of data and trends to proactively deliver insights, define goals, and drive improvements.
  • Establish short and long-term goals that will advance the organization's productivity through analytics.
  • Effectively plan and collaborate with team members on data driven projects to improve internal tools, systems, and data pipelines.
  • Demonstrate strong problem-solving skills.
  • Partner with Data Engineering, Data Science, Customer Support, and other IT teams to manage multiple complex projects and solve problems at scale.
Minimum Qualifications
  • Bachelor's degree in computer science, engineering, physics, applied mathematics, operations research or related field
  • Analytical or related experience with scripting using SQL and/or Python
  • Distinctive problem solving and analytical skills combined with business judgment and the ability to communicate effectively
  • Excellent verbal and written communication and interpersonal skills

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