Expedia Group is hiring for a FRESHER entry level Data Scientist / Data Analyst role in India

Position

• Data Scientist I, Commercial Operations Analytics (As per the JD it is a Data Analyst role)

Company

• Expedia Group

Location

• Gurgaon, Haryana, India

Job Type

• Full Time Regular

Job Mode

• Onsite

Job Requisition ID

• R-106300

Years of Experience

• 0 to 3 Years

Company Description

• Expedia Group is one of the world's leading travel technology organizations, dedicated to making travel easier, more accessible, and more rewarding for millions of travelers around the globe.

• The company operates a large ecosystem of travel brands and platforms that connect travelers, travel partners, advertisers, and service providers through advanced technology solutions and data driven experiences.

• With a mission focused on helping people explore the world confidently, Expedia Group develops innovative products and digital experiences that simplify travel planning, booking, and management.

• The organization serves customers across numerous countries and markets, supporting both leisure and business travel needs through a portfolio of globally recognized travel brands.

• Expedia Group believes that technology plays a central role in transforming the travel industry. Through investment in analytics, artificial intelligence, machine learning, product innovation, and customer experience, the company continuously improves how travelers discover and enjoy destinations around the world.

• The organization promotes an employee centric culture built around collaboration, inclusion, innovation, and accountability. Employees are encouraged to bring unique perspectives, contribute ideas, and participate in meaningful work that impacts customers worldwide.

• Expedia Group places significant emphasis on professional growth and learning. Team members gain access to development programs, mentoring opportunities, internal mobility options, and resources designed to support long term career advancement.

• The company offers a flexible and supportive work environment where employees can balance professional responsibilities while pursuing personal growth and well being.

• Expedia Group has been recognized by leading organizations for its workplace culture, employee satisfaction, diversity initiatives, and commitment to fostering an inclusive environment where every individual feels valued and respected.

• Through its combination of technology expertise, global reach, travel industry leadership, and customer focused innovation, Expedia Group continues to shape the future of digital travel experiences across the world.

Profile Overview

• Expedia Group is seeking an analytical and business minded professional to join its Commercial Operations Analytics team as a Data Scientist I.

• This position provides an excellent opportunity for early career professionals who are passionate about data, analytics, business intelligence, and strategic decision making.

• The successful candidate will work closely with stakeholders across multiple departments to support commercial operations and sales related initiatives through data driven insights.

• The role involves translating real world business challenges into structured analytical problems that can be solved through quantitative methods, data exploration, and statistical analysis.

• Individuals joining this team will contribute to projects that improve operational efficiency, strengthen account management effectiveness, and support organizational growth objectives.

• The position sits at the intersection of analytics, business strategy, commercial operations, and stakeholder management, making it an ideal opportunity for candidates who enjoy combining technical skills with business impact.

• Team members will work with large datasets originating from various systems and sources, transforming raw information into actionable recommendations that support decision making across the organization.

• The role requires collaboration with professionals from commercial operations, account management, product teams, data engineering functions, machine learning groups, and leadership teams.

• Candidates will be expected to communicate analytical findings clearly and effectively to audiences with varying levels of technical knowledge.

• The position also offers exposure to modern analytical tools, AI enabled workflows, automation technologies, and advanced business intelligence practices within a large scale global technology organization.

• Through active participation in cross functional initiatives, the Data Scientist I will help identify opportunities for operational improvement, process optimization, and business growth.

• This role provides an excellent platform for building expertise in analytics, stakeholder engagement, business problem solving, and commercial strategy within the travel technology sector.

Key Responsibilities

Business Problem Identification and Analysis

• Interpret business challenges and operational questions raised by stakeholders.

• Transform ambiguous business situations into clearly defined analytical projects.

• Apply structured problem solving approaches to identify root causes and opportunities.

• Develop frameworks that help simplify complex commercial and operational issues.

• Prioritize analytical initiatives based on organizational goals and expected business impact.

• Support strategic decision making through evidence based analysis.

Data Collection and Preparation

• Gather information from multiple databases, systems, and reporting platforms.

• Extract, validate, and organize data required for analysis and reporting.

• Combine datasets from different sources to create reliable analytical foundations.

• Ensure data quality, consistency, and accuracy throughout the analytical process.

• Prepare structured datasets suitable for advanced analysis and business reporting.

• Maintain documentation related to data sources and analytical methodologies.

Analytical Insight Generation

• Apply analytical techniques to uncover trends, patterns, and business opportunities.

• Conduct quantitative analysis to support commercial operations objectives.

• Evaluate business performance using data driven methodologies.

• Identify opportunities to improve account management effectiveness.

• Develop recommendations that support operational improvements and organizational growth.

• Translate analytical findings into practical actions for stakeholders.

Stakeholder Collaboration

• Build trusted relationships with internal business partners.

• Collaborate with account management teams to understand operational requirements.

• Work closely with commercial operations leaders to address strategic priorities.

• Coordinate with data engineering teams to improve data accessibility and usability.

• Engage with product and technology teams on analytics related initiatives.

• Participate in discussions focused on operational transformation and business optimization.

Communication and Presentation

• Present findings in a clear, concise, and compelling manner.

• Create reports, presentations, and visualizations that support decision making.

• Explain analytical methodologies to both technical and non technical audiences.

• Deliver recommendations supported by evidence and business rationale.

• Use storytelling techniques to communicate complex information effectively.

• Influence stakeholders through logical analysis and persuasive communication.

AI and Modern Analytics Utilization

• Leverage AI powered tools responsibly throughout project execution.

• Utilize technology to improve research, analysis, automation, and productivity.

• Apply AI solutions for dashboard development and reporting enhancement.

• Support workflow optimization through modern analytical technologies.

• Maintain accountability for validation, interpretation, and final business recommendations.

• Ensure analytical outputs meet organizational quality standards.

Functional Contributions

Commercial Operations Support

• Assist commercial teams in evaluating business performance.

• Support strategic initiatives through analytical insights.

• Monitor operational metrics and identify performance improvement opportunities.

• Contribute to projects designed to enhance sales effectiveness.

• Provide recommendations that improve operational efficiency.

• Support initiatives that drive organizational transformation.

Account Management Analytics

• Analyze account performance and operational effectiveness.

• Support decision making processes for account management teams.

• Identify patterns influencing customer and partner engagement.

• Assist in developing data driven account management strategies.

• Evaluate business outcomes and recommend improvement actions.

• Contribute insights that help strengthen partner relationships.

Cross Functional Engagement

• Collaborate with diverse teams across the organization.

• Participate in projects involving multiple business functions.

• Support knowledge sharing and analytical best practices.

• Contribute to organizational learning through insight generation.

• Foster strong working relationships across departments.

• Encourage data driven decision making throughout the business.

Working Environment

• Join a highly collaborative and innovative analytics team.

• Work within a technology driven organization focused on global impact.

• Gain exposure to large scale datasets and business challenges.

• Participate in projects that influence strategic decisions.

• Learn from experienced professionals across analytics, engineering, and commercial functions.

• Utilize modern analytical tools and AI enabled technologies.

• Operate within a culture that values innovation, inclusion, learning, and accountability.

• Contribute to meaningful projects that affect travelers, partners, and business stakeholders worldwide.

• Develop both technical and business capabilities in a dynamic environment.

• Experience opportunities for long term professional growth and career advancement.

Please click here to apply.