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Travel Data Analyst Remote Jobs (NOW HIRING)

Pavago

Financial & Data Analyst

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We're hiring a Financial Analyst ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

RELX

Sr. Fraud Data Analyst (Remote USA)

Alpharetta, GA · On-site +1

$94K - $157K/yr

Analyze online transactional data to validate expected performance, identify trends and anomalies ... Willingness to travel up to 25% U.S. National Base Pay Range: $78,800 - $131,300. Geographic ...

RGP

Business Intelligence/Data Analyst (Remote)

They are seeking a Business Intelligence/Data Analyst to support revenue and financial reporting initiatives by validating and reconciling large datasets across multiple systems. Responsibilities ...

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All JobsTravel Data Analyst Remote Jobs

Travel Data Analyst Remote information

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$34K

$82.6K

$136K

How much do travel data analyst remote jobs pay per year?

As of Jun 13, 2026, the average yearly pay for travel data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Travel Data Analyst collaborate with other teams in a remote work setting?

As a remote Travel Data Analyst, you’ll frequently collaborate with cross-functional teams such as marketing, product development, and customer support through virtual meetings and project management tools. Effective communication is essential, as you'll need to present your data findings, share insights, and provide recommendations that influence travel product offerings and customer experience. Regular collaboration often takes place via shared dashboards, cloud-based analytics platforms, and instant messaging, making it important to be proactive in sharing updates and clarifying requirements. Building strong working relationships remotely can help ensure your analyses directly support business goals and drive impactful decisions.

What key skills and qualifications are necessary to excel as a Remote Travel Data Analyst, and why are they important?

To thrive as a Remote Travel Data Analyst, you typically need strong analytical skills, proficiency in statistics, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, or Python, and experience with travel industry platforms or databases are highly valued. Excellent communication, attention to detail, and self-motivation are crucial soft skills for presenting insights and collaborating remotely. These abilities are vital for accurately interpreting travel data, informing business decisions, and effectively working within distributed teams.

What does a Travel Data Analyst do in a remote position?

A Travel Data Analyst working remotely is responsible for collecting, analyzing, and interpreting data related to travel trends, customer preferences, and market performance. They use statistical tools and data visualization techniques to help travel companies make informed business decisions. Their tasks often include creating reports, identifying patterns, and recommending strategies to optimize operations or marketing efforts. Working remotely, they leverage digital communication tools to collaborate with team members and share insights effectively.
More about Travel Data Analyst Remote jobs
What cities are hiring for Travel Data Analyst Remote jobs? Cities with the most Travel Data Analyst Remote job openings:
What states have the most Travel Data Analyst Remote jobs? States with the most job openings for Travel Data Analyst Remote jobs include:
What job categories do people searching Travel Data Analyst Remote jobs look for? The top searched job categories for Travel Data Analyst Remote jobs are:
Travel Data Analyst Remote jobs near you
Infographic showing various Travel Data Analyst Remote job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 52% Full Time, 5% Part Time, 40% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Financial & Data Analyst

Pavago

Remote

Full-time

Posted 16 days ago

Job description

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours
Position Type: Full-Time, Remote
Working Hours: U.S. Client Business Hours
About the Role
We're hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions.
This role sits at the intersection of finance, data, and strategy - you'll build models, analyze performance, and create dashboards that leadership relies on daily.
If you're someone who can connect numbers to real business impact, this is where you thrive.
What You'll Own
Financial Modeling & Analysis
  • Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow)
  • Perform scenario analysis, sensitivity modeling, and forecasting
  • Analyze ROI, IRR, break-even points, and investment performance
  • Support strategic decision-making with data-backed financial insights

Data Analysis & Insights
  • Query and analyze datasets using SQL
  • Clean, structure, and transform data using Python, R, or Excel
  • Perform variance analysis (actual vs. forecast vs. budget)
  • Identify trends, risks, and opportunities across datasets

Reporting & Dashboards
  • Build dashboards using:
    • Tableau
    • Power BI
    • Looker
  • Prepare monthly reports, executive summaries, and board decks
  • Ensure reporting is consistent, accurate, and easy to interpret

Forecasting & Budgeting
  • Support FP&A processes and rolling forecasts
  • Integrate real-time performance into financial projections
  • Help improve forecasting accuracy and business planning

Data Quality & Governance
  • Validate data sources and ensure consistency
  • Document models, assumptions, and methodologies
  • Maintain clean, reliable datasets for decision-making

Cross-Functional Collaboration
  • Partner with finance, operations, sales, and leadership
  • Translate data into clear, actionable business insights
  • Support key decisions with structured analysis

What Success Looks Like
  • Leadership trusts your numbers and insights
  • Forecasts are accurate and actionable
  • Dashboards are clear, reliable, and used daily
  • Business decisions are driven by your analysis
  • Data quality and reporting consistency improve over time

What Makes You a Strong Fit
  • Analytical thinker who simplifies complex data
  • Detail-oriented with high accuracy standards
  • Strong communicator (not just numbers - insights)
  • Comfortable working with large datasets and ambiguity
  • Proactive in identifying trends and opportunities

Requirements (Must-Have)
Experience
  • 2+ years in:
    • Financial Analysis
    • FP&A
    • Data Analytics

Core Skills
  • Advanced Excel / Google Sheets:
    • Pivot Tables
    • INDEX/MATCH
    • Data modeling
  • Strong SQL skills (queries, joins, data extraction)
  • Experience with financial reporting and variance analysis

Technical Stack
  • BI Tools:
    • Tableau
    • Power BI
    • Looker
  • Data tools:
    • SQL
    • Excel / Google Sheets

Nice to Have
  • Python or R for data analysis
  • Experience with ERP systems:
    • NetSuite
    • SAP
    • Oracle
  • Industry experience:
    • SaaS
    • Finance
    • Healthcare
  • Experience building executive dashboards

What a Typical Day Looks Like
  • Pull and clean data from SQL or ERP systems
  • Update financial models with new data
  • Run scenario and variance analysis
  • Build or refine dashboards for leadership
  • Present insights and recommendations to stakeholders

In short:
You turn raw data into clear insights that drive business decisions.
Key Metrics (KPIs)
  • Forecast accuracy (±5-10%)
  • Timely reporting delivery
  • Dashboard reliability and usability
  • Data accuracy and consistency
  • Leadership satisfaction with insights

Interview Process
  • Initial Phone Screen
  • Video Interview with Recruiter
  • Practical Task (model or dashboard)
  • Client Interview
  • Offer & Background Verification

Apply Now
If you're someone who enjoys working with data, building models, and influencing decisions through insights, this role gives you direct impact on business strategy.
Apply now and become the bridge between data and decision-making.

Apply