DS Analytics II, Advertising Product Analytics & Experimentation at Expedia in India - Bangalore

Job description

• Are you passionate about data and curious about the many ways it can be used to solve real world problems and drive value?
• Join a global, diverse team at the forefront of analytics and data science, where we are laser-focused on delivering analytical excellence via world-class techniques and technology. Bring a hard-hat and help us optimize products and services for our partners via insights and experimentation!
• We are seeking outstanding candidates who bring technical skills, act as business owners, can execute on sophisticated projects, and deliver results.

Responsibilities

• Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.
• Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.
• Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.
• Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.
• Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.

Requirements

• Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.
• 2+ years of analytics experience with a focus on product analytics and measurements.
• Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.
• Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.
• Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.
• Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.
• Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.
• Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.
• Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning

Skills

Required

• SQL
• Python
• Databricks
• AWS
• Big data tools
• Analytical skills
• Problem-solving skills
• Leadership skills
• Cross-functional collaboration

Preferred

• Experimentation
• Causal inference
• Advanced analytics
• Economic modeling
• Price elasticity
• Time series analysis
• Multivariate analysis
• Regression