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Remote Data Analyst R Programming Jobs in Palmetto, FL

Sr. Data Engineer

Saint Petersburg, FL · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

Sr. Data Engineer

Saint Petersburg, FL · Remote

$100K - $136K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

... analyze qualitative data. * Enhancing the canvas experience with new tools and collaboration ... At least 3 years of professional experience shipping features or products as a full-stack developer.

... claims data Configure new insurance carriers and plans, ensuring accurate participation and fee alignment Manage and resolve plan and fee support tickets from dental offices and internal teams ...

... claims data Configure new insurance carriers and plans, ensuring accurate participation and fee alignment Manage and resolve plan and fee support tickets from dental offices and internal teams ...

... claims data Configure new insurance carriers and plans, ensuring accurate participation and fee alignment Manage and resolve plan and fee support tickets from dental offices and internal teams ...

... data ¨ Configure new insurance carriers and plans, ensuring accurate participation and fee ... Analyze trends in denials, underpayments, and payer inconsistencies and recommend improvements ¨ ...

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Remote Data Analyst R Programming information

See Palmetto, FL salary details

$30.8K

$74.9K

$123.2K

How much do remote data analyst r programming jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data analyst r programming in Palmetto, FL is $74,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What cities near Palmetto, FL are hiring for Remote Data Analyst R Programming jobs? Cities near Palmetto, FL with the most Remote Data Analyst R Programming job openings:

Data & Analytics Product Manager

Dynasty Financial Partners, LLC

Saint Petersburg, FL • On-site, Remote

Other

Re-posted 17 days ago


Job description

Description

Dynasty Financial Partners is building a deeply integrated advisor platform powered by proprietary data, analytics, and emerging AI capabilities. The Data & Analytics Product Manager is the Senior product owner for Dynasty's data and analytics portfolio - responsible for defining the vision, strategy, roadmap, and adoption of data powered products that drive measurable outcomes for advisors, home office teams, and executive leadership.


This role is product first. You will operate as a senior product leader who owns what gets built and why, ensuring that Dynasty's data platform and analytics products are aligned to business priorities, delivered incrementally, and widely adopted. You will partner closely with Engineering and Delivery leadership, while maintaining clear accountability for outcomes.


Primary Responsibilities


Product Vision & Strategy

  • Define and own the product vision and North Star for Dynasty's data and analytics experiences
  • Translate company strategy into a cohesive, multi year product roadmap
  • Establish clear product outcomes, OKRs, and success metrics tied to adoption and business impact
  • Serve as the executive product voice for data and analytics in planning, prioritization, and investment discussions

Roadmap Ownership & Prioritization

  • Own the end to end data & analytics roadmap across products and platform capabilities
  • Balance advisor value, business impact, and longer term platform investments
  • Make deliberate trade offs between feature delivery and foundational enablement
  • Partner with Engineering leadership on sequencing, dependencies, and delivery trade offs
  • Ensure roadmap clarity for executives, product peers, and delivery teams

Analytics & Intelligence Products

  • Own the product strategy for Dynasty's analytics and insight experiences, including firm performance, flows, billing, benchmarks, and executive dashboards
  • Ensure analytics products are decision oriented, intuitive, and trusted by users
  • Drive consistency in KPIs, metrics definitions, and insight storytelling across the platform
  • Champion user centered discovery to ensure analytics solve real advisor and home office needs

Data Platform as a Product

  • Treat the data platform as a foundational product, with clear consumers, capabilities, and outcomes
  • Define product requirements for data availability, quality, governance, and AI readiness in partnership with Engineering
  • Ensure platform investments directly enable analytics, reporting, and future intelligence use cases
  • Hold teams accountable for platform work that unlocks real product and business value

Adoption, Enablement & Value Realization

  • Drive adoption and impact, not just delivery, across data and analytics capabilities
  • Partner with Marketing, Relationship Management, and Services on enablement strategies including training, release communications, demos, and executive storytelling
  • Establish structured feedback loops (usage analytics, advisory councils, betas) and actively evolve the roadmap based on insights
  • Ensure every significant release clearly communicates what changed, why it matters, and how success will be measured

Requirements

  • 6+ years of experience in product management, platform product leadership, or technology leadership roles
  • Proven ability to drive adoption and business outcomes for analytics heavy or data powered products
  • Strong strategic thinking paired with practical prioritization and execution judgment
  • Experience in fintech, wealth management, or other regulated industries strongly preferred