Senior Data Analyst

About Wenrix

Wenrix is the next generation of airfare optimization.

We are a young and fast-growing startup in the field of fintech for travel companies.

Our AI-driven smart prediction technology helps our customers generate new revenue streams from their air volume.

By using our products, we can ensure that tickets are issued at the best possible time and at the best price

We’re looking for a Senior Data Analyst who’s excited to turn data into decisions and insights into action. In this role, you’ll have a direct hand in shaping how we measure success, prioritize our roadmap, and grow the business. You won’t just be supporting decisions - you’ll help drive them. If you’re someone who likes to see the real impact of your work on product direction and company metrics, this is the place for you.

What Will You Do?

• Own end-to-end analytical initiatives that inform strategic decisions across the company - from product performance to go-to-market strategy.
• Collaborate with the R&D teams to build robust tools that enable our business teams to make data-driven decisions and enhance our products.
• Conduct comprehensive analysis of product performance to identify insights, uncover bottlenecks, and discover growth opportunities.
• Develop interactive data applications and visualizations using tools like Tableau and Retool, to support sales and customer success efforts.
• Provide data-driven recommendations to the product and R&D teams, assisting in better decision-making processes regarding features and roadmap development.
• Partner with the Data Science team to help operationalize ML models and monitor their impact on product KPIs.
  
  

• 5+ years of experience working as a Business Analyst, Data Analyst, or in a similar role, preferably in a B2B SaaS environment with diverse customer use cases.
• Strong proficiency in querying databases using SQL to extract and manipulate data effectively.
• Solid foundation in statistics, including A/B testing, confidence intervals, regression analysis, and statistical significance
• Experience with data analysis in scripting environments such as Python or R (advantageous).
• Familiarity with dbt and hands-on experience in building ETL pipelines - advantageous.
• Hands-on experience with BI tools like Tableau or PowerBI - advantageous.
• Excellent analytical, problem-solving, critical thinking, and detail-oriented mindset.