KAYAK is hiring a
Data Analytics Engineer

Summary

The job is for a Data Analyst at KAYAK. The role involves data analysis, forecasting, building data pipelines, and collaborating with various teams. The required qualifications include a Bachelor's degree in Computer Science or Engineering, specific years of experience with various technologies, SQL skills, and experience/exposure in Python or Object-oriented programming.

Requirements

• Bachelor of Computer Science, Engineering
• 5+ years' experience with data aggregation, standardization, linking, quality check mechanisms, and reporting
• 3+ years' experience with big data technologies like Hadoop and Spark
• 3+ years' experience with EPM technologies (Essbase or Anaplan)
• 5+ years' experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools
• Demonstrated ability with reporting tools (Tableau/looker)
• Proven experience in analytics, consulting, or technology
• Strong, hands-on SQL experience, preferably with Oracle or Vertica, but other relational databases are OK
• Experience/exposure in Python or Object-oriented programming

Responsibilities

• Prepare and ingest data into financial forecasting models and ensure timeliness and accuracy of such data processes
• Build data pipelines, reporting infrastructures and help develop new FP&A processes and analyses that add value for all stakeholders
• Implement SQL composition skills that collects and queries data for investigation and analysis in real time from our applications
• Maintain and design early warning and analytics systems using innovative cloud data technologies
• Collaborate on building software that collects and queries data, while also composing queries for investigation purposes
• Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability
• Work cross-functionally with various teams, crafting solutions that deal with large volumes of data
• Build Data Pipelines to ingest structured and Unstructured Data

Preferred Qualifications

• Takes ownership for results, ‘owning’ assignments and projects
• A can-do attitude and a passion for analytics/data

Benefits

• 4 weeks paid vacation
• Ability to work from almost anywhere
• Day off on your birthday
• Generous retirement plans
• Awesome health, dental and vision insurance plans
• Flexible Spending Accounts
• Headspace Subscription
• No Meeting Fridays
• Drinks, coffee, snacks, games etc
• Weekly catered lunches
• Flexible hours
• Regular team events/excursions
• Universal Paid Parental leave