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Data Analytics Lead
1 week ago
TPConnects is a SaaS and cloud technology company and is part of Flight Centre Travel Group (FCTG), providing solutions for the airline and travel industry. We have a vibrant, multicultural team and we celebrate and recognize our talents. We are a rapidly growing 140+ strong employees' company, headquartered in Dubai, UAE. We help airlines and travel agencies distribute retail travel products through solutions built and aligned to the industry vision of Modern Airline Retailing using IATA's New Distribution Capability (NDC) Standard. We are IATA certified in the areas of ARM, One-Order and IFG. Our goal is to provide solutions that provide time and value to market without the constraints of legacy systems. Join us to be at the forefront of changes that are happening in our industry. Read more about us at .
Job Description
Summary
TPConnects is seeking a highly skilled Data Analytics Lead to drive data-driven decision-making and optimize our product offerings. This role will be responsible for designing and implementing data models, ensuring data quality, conducting A/B testing, and leading product analytics efforts. The ideal candidate will work cross-functionally with engineering, product, and business teams to unlock valuable insights and improve business outcomes.
Role Title
Role Location
Dubai, UAE
Key Responsibilities:
- Design and optimize data models to support analytics and reporting needs.
- Define and implement data quality frameworks, ensuring high integrity and reliability.
- Utilize Great Expectations or similar tools to automate data quality checks.
- Work closely with the Data Engineering team to ensure efficient data pipelines.
- Design and execute A/B tests to evaluate product changes and measure business impact.
- Establish best practices for experiment design, statistical analysis, and result interpretation.
- Provide actionable insights and recommendations based on test outcomes.
- Develop a product analytics strategy to track user behavior and key performance metrics.
- Define and implement key product usage metrics and dashboards.
- Work with Product and UX teams to optimize the customer journey and engagement.
- Act as a data champion, promoting a culture of data-driven decision-making.
- Partner with Product, Engineering, and Business teams to understand data needs and deliver insights.
- Present findings to stakeholders, making clear, actionable recommendations.
- 5+ years of experience in data analytics, data science, or business intelligence.
- Strong expertise in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, Superset).
- Strong experience with ETL pipelines and data warehouse optimization.
- Identify patterns in data, derive insights, and effectively communicate findings to stakeholders.
- Hands-on experience with data modeling and data quality testing.
- Experience conducting and analyzing A/B tests.
- Strong knowledge of product analytics and user behavior tracking.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Experience with modern data stack tools.
- Familiarity with ML/AI-based analytics for predictive modeling.