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Expedia Data Analyst Jobs in California (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

Machine Learning Scientist II

San Jose, CA · Remote

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel ... Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data ...

VIMO INC.

Medicaid Business Analyst

Mountain View, CA · On-site +1

$120K - $160K/yr

Vimo ® started as the "Expedia" of health insurance and has evolved into a leader in transforming ... XML Data & Gap Analysis: * Review and analyze Account Transfer XML files to identify data ...

VIMO INC.

Medicaid Business Analyst

Mountain View, CA · On-site

$140K - $170K/yr

Vimo ® started as the "Expedia" of health insurance and has evolved into a leader in transforming ... XML Data & Gap Analysis: * Review and analyze Account Transfer XML files to identify data ...

VIMO INC.

Privacy and Compliance Lead

Mountain View, CA · On-site

$185K/yr

About VIMO: What started as the "Expedia" of health insurance, has grown to a market leading ... Conducting Gap Analysis between different frameworks and keeping up with changing compliance ...

VIMO INC.

Privacy and Compliance Lead

Mountain View, CA · On-site +1

$130K - $165K/yr

About VIMO: What started as the "Expedia" of health insurance, has grown to a market leading ... Conducting Gap Analysis between different frameworks and keeping up with changing compliance ...

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All JobsExpedia Data Analyst JobsExpedia Data Analyst Jobs in California

Expedia Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do expedia data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for expedia data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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.

Does Expedia offer remote jobs?

Expedia offers remote job opportunities for roles such as Data Analyst, often requiring proficiency in data analysis tools and remote communication skills. The availability of remote positions varies by role and department, and some positions may require on-site presence or hybrid arrangements.

What is the highest paying data analyst job?

The highest paying data analyst roles are often senior or specialized positions such as data science managers, analytics directors, or roles in finance and technology sectors, with salaries exceeding $100,000 annually. Advanced skills in machine learning, programming, and business strategy, along with relevant certifications, can contribute to higher compensation.

What is the salary of data analyst in Expedia Group?

The average salary for a Data Analyst at Expedia Group is approximately $70,000 to $90,000 per year, depending on experience and location. Entry-level roles may start around $60,000, while more experienced analysts can earn over $100,000. Skills in SQL, Excel, and data visualization tools are often required for this position.

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.

What are popular job titles related to Expedia Data Analyst jobs in California? For Expedia Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Expedia Data Analyst jobs in California look for? The top searched job categories for Expedia Data Analyst jobs in California are:
What cities in California are hiring for Expedia Data Analyst jobs? Cities in California with the most Expedia Data Analyst job openings:
Expedia Data Analyst jobs near you
Infographic showing various Expedia Data Analyst job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

VIMO INC.

Mountain View, CA • On-site, Remote

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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

Apply