Airbnb Associate Principal Analytics & Systems Monitoring 

India, Haryana, Gurugram 

711370147

A typical day

• Analyze large volumes of data from various sources to identify patterns and potential risk areas to facilitate risk scoring and prioritization
• Continuously monitor data streams and transactions to detected anomalies to support continuous risk monitoring
• Test the effectiveness of controls by analyzing large volumes of transactions and identify control violations or expectations to support automated control testing
• Analyze large volumes of unstructured data to identify potential risks or fraud indicators to support natural language processing
• Manage the data analytics and business intelligence tools and systems
• Manage the collection, processing and analysis of complex datasets from various sources to generate meaningful insights
• Validate the integrity, accuracy and reliability of data through the implementation of data validation and quality control processes
• Identify opportunities for process improvements and recommend data-driven solutions to help reduce risk
• Communicate findings and insights to senior management and stakeholders through clear and concise presentations and reports
• Stay up-to-date with the latest trends, tools and techniques in data analytics and implement best practices within the team
• Foster a culture of continuous learning and improvement within the data analytics team
• Manage budgets, resources and timelines for data analytics projects

Your Expertise

• Bachelor’s degree. MS in Computer Science a plus.
• Professional experience in consulting with high growth, technology, and/or hospitality companies
• Strong organizational skills and process-oriented with the ability to define and execute projects with limited guidance and unclear scope
• Experience forming strong working relationships with a variety of internal and external stakeholders within and outside of Finance
• Ability to communicate clearly and persuasively through both written and verbal formats up to the executive level (e.g. Chief Financial Officer, VP of Finance, etc.)
• Strong quantitative skills and ability to analyze complex data to distill insights and provide business recommendations
• Proficiency with the following skills and tools: SQL, Python, data modeling, data extraction, data analysis and visualization via Tableau and / or Superset
• Proven track record of delivering successful data analytics projects that drive business value