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Remote Applied Data Analytics Jobs in New Port Richey, FL

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 ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

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.

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 ... As a Manager, Financial Analytics , you'll play a critical role in shaping key business decisions ...

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:

JLL

Data Collection Specialist II

Tampa, FL · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

... applied research scientist position preferably with a focus on developing production-ready AI ... Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ...

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All JobsApplied Data Analytics JobsRemote Applied Data Analytics JobsRemote Applied Data Analytics Jobs in New Port Richey, FL

Remote Applied Data Analytics information

See New Port Richey, FL salary details

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$48

$84

How much do remote applied data analytics jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote applied data analytics in New Port Richey, FL is $48.76, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $55.24 per hour, depending on experience, location, and employer.

What is a Remote Applied Data Analytics job?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

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

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What job categories do people searching Remote Applied Data Analytics jobs in New Port Richey, FL look for? The top searched job categories for Remote Applied Data Analytics jobs in New Port Richey, FL are:
What cities near New Port Richey, FL are hiring for Remote Applied Data Analytics jobs? Cities near New Port Richey, FL with the most Remote Applied Data Analytics job openings:
Remote Applied Data Analytics jobs near you

Product Owner, Applied Intelligence

Avalon Administrative Services LLC

Tampa, FL • Remote

Full-time

Posted 5 days ago

Job description

About Avalon Healthcare Solutions:

Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments. Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support—driving measurable value, reduced waste, and improved clinical outcomes. With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit https://www.avalonhcs.com.

Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability.

This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document.

About the Product Owner, Applied Intelligence position:

The Product Owner, Applied Intelligence is responsible for translating business needs into scalable, data-driven and AI-enabled product capabilities. This role sits at the intersection of product, data science, and engineering - owning the delivery of intelligent features, models, and automation that enhance decision-making, operational efficiency, and customer value.

This individual will actively engage business stakeholders across the organization to surface opportunities, shape priorities, and build shared understanding of AI/ML capabilities — while partnering with data scientists and engineers to bring use cases from concept to production in a reliable, compliant, and impactful way.

This position is eligible for remote work, but quarterly travel will be required to Avalon’s corporate office located in Tampa, Florida.

Product Owner, Applied Intelligence – Essential Functions and Responsibilities:

  • Own and manage the product backlog for Applied Intelligence initiatives, including AI/ML models, analytics products, and automation solutions.
  • Lead ongoing backlog refinement sessions with cross-functional stakeholders to ensure priorities reflect current business needs, not just engineering capacity.
  • Translate business problems into clear user stories, acceptance criteria, and prioritized work for engineering and data science teams.
  • Partner with Engineering and Data teams in agile delivery, ensuring timely and high-quality releases.
  • Continuously refine and reprioritize backlog based on business impact, performance insights, and stakeholder feedback.
  • Proactively engage business stakeholders to identify and validate high-value opportunities for AI/ML and advanced analytics.
  • Support the development of use cases such as predictive modeling, decision support, anomaly detection, and workflow automation.
  • Act as the primary liaison between business teams and technical teams.
  • Drive structured discovery and prioritization processes with stakeholders.
  • Communicate progress, risks, and outcomes to stakeholders at all levels.
  • Partner with data engineering teams to ensure availability, quality, and accessibility of data.
  • Define and track KPIs for AI-driven features and drive continuous improvement.

Product Owner, Applied Intelligence – Minimum Qualifications:

  • Bachelor’s degree
  • 4–8 years of experience in product management, product ownership, or business analysis with exposure to data, analytics, or AI/ML-driven products.
  • Experience working in agile environments with cross-functional teams.
  • Healthcare or health-tech experience required.
  • Strong ability to translate complex business problems into structured product requirements.
  • Working knowledge of AI/ML concepts and machine learning workflows.
  • Excellent communication and stakeholder management skills.
  • Analytical mindset with a focus on outcomes and measurable impact.

Product Owner, Applied Intelligence – Preferred Qualifications:

  • Experience at a private equity-backed growth stage company

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