Product Analyst

Travelier, formerly Bookaway Group, is a dynamic travel-tech company transforming the way people experience ground and sea transportation. Our innovative digital platform uses AI models and processes hundreds of millions of daily events to create solutions that empower travelers to book ferries, buses, and trains worldwide effortlessly.

We're seeking a proactive Product Analyst to join our fast paced data group. This role requires a sharp analytical mind and a strong technical skill set to translate complex product and business problems into actionable insights

Responsibilities:

• Partner with cross-functional teams including Business stakeholders, Product, Data Science, and Engineering to inform, influence, support, and execute product strategy
• Design, execute, and analyze A/B tests to evaluate the impact of new features and product changes, driving iterative product improvement
• Collaborate closely with the Data Science team to analyze Machine Learning models' performance and to suggest potential new features that can provide additional value
• Own the data, understand its business purpose, and assure its ongoing quality by adding alerts to identify trends and anomalies
• Develop and maintain comprehensive, user-friendly reports and dashboards for optimal monitoring and visibility
• Present data-driven insights to stakeholders clearly and concisely, enabling informed decision making.
  
  

• Minimum 3 years of experience as a product/data/business analyst
• Strong analytical skills and a data driven mindset
• Proficiency in SQL and BI tools (Looker, Tableau, etc.)
• Experience with programming languages (Python, R)
• Knowledge of data warehousing concepts and cloud-based data platforms
• Proven ability to design, execute, and analyze A/B tests
• Demonstrated initiative and ability to manage multiple projects independently in a fast paced environment
• Excellent communication and presentation skills
  
  

• Experienced with MPP columnar databases like Bigquery/Snowflake/Redshift or similar
• Experience with Machine Learning models evaluation analysis and features engineering
• Travel and/or e-commerce industry experience