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Expedia Data Analyst Jobs (NOW HIRING)

VIMO INC.

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Vimo ® started as the "Expedia" of health insurance and has evolved into a leader in transforming ... We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data ...

VIMO INC.

Data Analyst

Mountain View, CA

Vimo ® started as the "Expedia" of health insurance and has evolved into a leader in transforming ... We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data ...

Expedia

Senior Treasury Analyst

Seattle, WA · On-site

$132K/yr

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... Bachelor's degree - Business, Finance, Economics, Accounting, or Data science * Experience with ...

Expedia

Market Manager (New York)

New York, NY · On-site

... power of Expedia Group's unique data insights, marketing, distribution and revenue management ... Demonstrates analytical skills * Ability to select and present insights, including performance ...

Expedia

Associate Account Manager II

Miami, FL · On-site

$107K/yr

... Expedia Group's full suite of: * Unique market insights (partner reports, competitive data, key ... Demonstrate analytical skills with market trends, partner performance, and competitor analysis to ...

Expedia

iOS Engineer II

Chicago, IL · On-site

$177K/yr

Ability to leverage data and analytics to inform technical decisions and feature development ... Expedia Group is proud to offer a wide range of benefits to support employees and their families ...

Expedia

Associate Account Manager

San Francisco, CA · On-site

$124K/yr

... Expedia Group's full suite of: * Unique market insights (partner reports, competitive data, key ... Demonstrate analytical skills with market trends, partner performance, and competitor analysis to ...

Expedia

Senior Manager, Accounting

Seattle, WA · On-site

$248K/yr

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to ... You are a self-starter with strong analytical skills, ability to dive deep, summarize and ...

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Expedia Data Analyst information

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$34K

$82.6K

$136K

How much do expedia data analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for expedia data analyst 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.

What does an Expedia Data Analyst do?

An Expedia Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions within the company. They work closely with product, marketing, and engineering teams to identify trends, measure performance, and provide actionable insights. Their work often includes building reports, creating dashboards, and using data visualization tools to present findings to stakeholders. Additionally, they may use statistical models and machine learning techniques to forecast trends and optimize Expedia’s travel services.

How does a Data Analyst at Expedia typically interact with other teams, such as Product and Engineering?

As a Data Analyst at Expedia, you’ll frequently collaborate with cross-functional teams, including Product, Engineering, and Marketing. You’ll work closely with product managers to define key metrics, gather requirements, and generate actionable insights that inform product decisions. Collaboration with engineering teams is also common, particularly when building data pipelines or ensuring data quality. This environment encourages strong communication skills and a proactive approach to problem-solving, as your analyses often drive strategic business changes across the company.

What are the key skills and qualifications needed to thrive as an Expedia Data Analyst, and why are they important?

To thrive as an Expedia Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a bachelor’s or master’s degree. Expertise in SQL, Excel, data visualization tools (such as Tableau or Power BI), and familiarity with programming languages like Python or R are typically required. Critical thinking, effective communication, and collaboration are vital soft skills for interpreting data and conveying insights to stakeholders. These skills enable analysts to uncover actionable trends, support business decisions, and drive Expedia’s growth through data-driven strategies.

What is the difference between Expedia Data Analyst vs Expedia Business Analyst?

AspectExpedia Data AnalystExpedia Business Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Economics, or related; strong analytical skills, familiarity with data tools
Work EnvironmentData-focused teams, using analytics platforms and databasesBusiness units, collaborating with stakeholders to improve processes
Employer & Industry UsageUsed across travel, hospitality, and online booking sectorsCommon in travel and hospitality companies for strategic decision-making

Expedia Data Analysts primarily focus on analyzing large datasets to generate insights using technical skills, while Expedia Business Analysts concentrate on applying data insights to improve business strategies and operations. Both roles are essential in the travel industry but differ in their core functions and skill sets.

More about Expedia Data Analyst jobs
What cities are hiring for Expedia Data Analyst jobs? Cities with the most Expedia Data Analyst job openings:
What states have the most Expedia Data Analyst jobs? States with the most job openings for Expedia Data Analyst jobs include:
What job categories do people searching Expedia Data Analyst jobs look for? The top searched job categories for Expedia Data Analyst jobs are:
Expedia Data Analyst jobs near you
Infographic showing various Expedia Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

VIMO INC.

Mountain View, CA • On-site, Remote

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

About VIMO:
Vimo® started as the "Expedia" of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it.
We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem - with a particular focus on call center operations. You will serve as the connective tissue between source systems, data pipelines, and BI platforms, ensuring that reports are accurate, timely, and meaningful to the teams that rely on them. This role is equal parts investigator, data steward, and reporting partner.
Responsibilities:
  • Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9, Genesys, Avaya) through ETL/ELT pipelines into the data warehouse and BI layer
  • Triage and resolve data discrepancies, reporting anomalies, and integration issues across systems - owning the problem through to root cause and fix
  • Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems
  • Build and maintain documentation for data dictionaries, field mappings, and transformation logic
  • Partner with engineering and platform teams to surface pipeline failures, schema changes, or upstream data quality issues before they reach end-users
  • Develop and sustain dashboards and reports in BI tools (e.g., Sisense, Tableau, Power BI) that consolidate cross-system metrics into operational views
  • Conduct ad hoc analysis to support operations, finance, and workforce planning teams
  • Define and monitor data quality checks and alerting for key reporting metrics
  • Communicate data nuances and known limitations to business stakeholders clearly and proactively

Compensation and Benefits:
  • Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.
  • We offer a comprehensive benefits package, including but not limited to: Health, Dental, Life, Disability, and Vision insurance
  • Healthcare spending or reimbursement accounts (HSA/FSA)
  • Retirement benefits (401k)
  • Paid time off
  • Holidays: 13 paid days per year
  • Education assistance or tuition reimbursement-
  • Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues:
  • We believe that working hard, when it is imbued with purpose, can and should be fun.
  • You'll find we are a "can do" place where people work together and roll up their sleeves to get the job done.
  • Everyone has a voice; everyone's ideas count, and everyone is respected.
  • We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection:
  • This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
  • Compliance with access control, data classification, and applicable legal and regulatory requirements is required.

Basic Qualifications:
  • 5+ years of experience Data Analysis or related fields
  • Proficient SQL - complex joins, CTEs, window functions, query optimization
  • Hands-on experience with BI platforms (Tableau, Power BI, Looker, or similar)
  • Familiarity with ETL/ELT tools or data pipelines (dbt, Fivetran, Airflow, or similar)
  • Experience working with call center or contact center data
  • Strong analytical thinking and attention to data detail
  • Ability to communicate technical findings to non-technical stakeholders

Preferred Qualifications:
  • Python or R for data wrangling and automation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of call center KPIs: AHT, FCR, ASA, CSAT, NPS
  • Familiarity with data governance or cataloguing tools
  • Experience with CRM data and WFM systems
  • Background in operations analytics or workforce management

What Success Looks Like:
  • Reporting issues are identified and resolved before stakeholders notice them
  • Call center and cross-system data is reliably consolidated and consistently defined
  • Dashboards reflect a single source of truth that operations and leadership trust
  • Data flow documentation is thorough enough for anyone on the team to follow

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