Agoda · 6 days ago

Senior Analyst

San Jose, CA

Full-time

Onsite

Senior Level

5+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

E-CommerceTourism

Growth Opportunities

Insider Connection @Agoda

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)

Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders

Proactively identify opportunities for growth within supply and the wider business

Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply

Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence

Automate manual operational processes and present back on time savings gained through modernization of business operations

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLTableauExcelPythonRStatistical ModellingMachine LearningData Visualization/B TestingXMLData ModellingData ArchitectureData AnalysisBusiness RecommendationsProblem-SolvingStakeholder ManagementCommunicationAdaptabilityTime ManagementPMI CertificationPRINCE2 CertificationTravel Industry ExperienceE-commerce ExperienceTech ExperienceConsulting ExperienceProgram ManagementAsian Market Experience

Required

At least 5 years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI

Advanced working knowledge and hands-on experience in SQL

Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)

Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)

Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)

A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)

Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite

Experience in conducting A/B testing experimentation

Strong experience in finding data insights and provide business recommendation to the business

Working proficiency in XML, data modelling, data architecture & components

Excellent communicator with superior written, verbal, presentation and interpersonal communication skills

Data driven in both decision making and performance measurement

Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources