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Remote Data Analyst Jobs in Santa Rosa Beach, FL

Luxury Coastal Vacations

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR, Marketing, and Business Development, from the models at its foundation through to the reporting and ...

BAE Systems

Data Engineer

Fort Walton Beach, FL · Remote

$134K/yr

Work with cross-functional teams, including data scientists, analysts, and business stakeholders ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

Bridge Point

Hotel Maintenance Engineer

Destin, FL · On-site +1

$15 - $19/hr

... remote audits Qualifications: * Strong organizational and time-management skills * Excellent written and verbal communication abilities * Ability to analyze data and identify discrepancies

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Santa Rosa Beach, FL

Remote Data Analyst information

See Santa Rosa Beach, FL salary details

$30.8K

$74.8K

$123.2K

How much do remote data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data analyst in Santa Rosa Beach, FL is $74,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

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 get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

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.

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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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.

More about Remote Data Analyst jobs

What cities near Santa Rosa Beach, FL are hiring for Remote Data Analyst jobs?

Cities near Santa Rosa Beach, FL with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Santa Rosa Beach, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $74,832 per year, or $36 per hour.

Senior Data Analyst

Luxury Coastal Vacations

Destin, FL • On-site, Remote

$78K - $98K/yr

Full-time

Posted 17 days ago

Job description

Description
The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR, Marketing, and Business Development, from the models at its foundation through to the reporting and analysis the business depends on. It is a deliberately broad mandate. You will build production-grade models against Awayday's conformed core and extend them into the semantic layer, develop the bespoke dashboards that sit atop them, conduct the ad hoc analysis stakeholders need, and help define the metrics that the departments within your domain rely on to make decisions day to day.
This role blends deep analytical rigor with genuine ownership. You will define what a metric means in partnership with the business, build and extend the models behind it, reconcile it to the source, and stand behind it with stakeholders, whether that work takes shape as a data model, a dashboard, or a one-off analysis. The ideal candidate is a proactive, results-oriented senior analyst, someone who pairs command of SQL and semantic modeling with sound data judgment and the communication skills to partner closely with the business.
Requirements
Key Responsibilities:
Domain Ownership
  • Own the Operations, HR, Marketing, and Business Development data domain end to end: modeling, delivery, reconciliation, and the stakeholder relationships behind it.
  • Carry the domain's hardest analytical work, so it stops queuing behind a single central builder.
  • Stay accountable for the health and accuracy of the domain's models and metrics, not only for their delivery.
  • Extend the domain's models into the semantic layer as new measures and dimensions are required.

Metric Development and Reporting
  • Help define and implement the KPIs and definitions Ops, HR, Marketing, and BD stakeholders rely on.
  • Build and maintain reporting and dashboards, in our BI tools and in the semantic layer, for the domain's end users.
  • Present insights and trends clearly, and conduct ad hoc analysis for stakeholders as needed.

Modeling and the Semantic Layer
  • Build and extend the domain's models on top of the shared conformed core.
  • Wire the domain's measures and dimensions into the semantic layer, so its metrics stay consistent with every other source.
  • Write the tests, reconciliations, and documentation that make the models production-grade.

Standardization and Harmonization
  • Own the standardization and harmonization within the domain, aligning definitions across brands so cross-brand metrics hold.
  • Coordinate with local and central teams to write standardized definitions and data mappings across the portfolio.

Stakeholder Partnership and Delivery
  • Partner with Ops, HR, Marketing, and Business Development stakeholders to define requirements and metrics before building them.
  • Communicate project priorities and requirements to the tech lead, who assigns the work and runs peer review within the contract team, and coach the one to two contract analysts in your domain to grow their skills and the quality of their output over time.
  • Run QA to confirm the domain's numbers reconcile before they reach our stakeholders.

AI and Analytics Enablement
  • Curate the governed metrics and semantic definitions our AI assistant relies on, and validate its answers against the source.

Qualifications:
  • 5+ years in data analysis, with demonstrated end-to-end ownership of an analytics area.
  • Strong SQL and hands-on experience building models in a cloud data warehouse (Snowflake preferred) with a semantic modeling or transformation framework.
  • Experience building reporting in a modern BI tool such as Domo, Looker, Tableau, or Power BI.
  • A track record of translating business requirements into governed metrics and standing behind the numbers with stakeholders.
  • Ownership of data quality and reconciliation for an area, and comfort directing others' work.
  • Powerful oral and written communication skills to present findings to non-technical stakeholders and to distill the needs of our business teams.
  • Practical, hands-on experience applying AI tools to real work, including LLM-assisted workflows. You know how to structure prompts and context and ground models on trusted data sources. Deep AI-engineering theory is not required, only fluency putting these tools to work.
  • Openness to an evolving BI and semantic-layer stack, including evaluating tools beyond our current set as the platform matures.

Preferred Qualifications:
  • Experience with a semantic or metrics layer and transformation tooling (dbt, MetricFlow, SQLMesh, or comparable).
  • Subject-matter depth in Operations, HR, Marketing, or Business Development that you've supported as an analyst.
  • Hospitality or vacation-rental domain experience.
  • Familiarity with a CRM, marketing, or HRIS data source

Key Attributes:
  • Strategic thinker with a proactive, problem-solving mindset.
  • Strong attention to detail and a commitment to numbers that reconcile.
  • Able to work independently and as part of a team, and to translate complex concepts into clear insight.
  • Eager to learn and adapt in a fast-paced, acquisitive environment.
  • An innate sense of curiosity and desire to help others.

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