About Tapsi Delivery:
Tapsi Delivery is a dynamic and fast-growing team that handles tens of thousands of orders every day. We are rapidly expanding into new markets and scaling our daily operations. This is just the beginning—we’re constantly innovating to optimize our delivery system and take our growth to the next level.
About the Role:
We are looking for a Senior Data Analyst to tackle real-world business challenges using data-driven insights. In this role, you will apply advanced data analysis, statistical techniques, and data science methodologies to solve critical problems. You will work closely with Incentive, Technology, Product, and Business teams to drive the full data lifecycle—from problem discovery and data exploration to model development, deployment, and performance monitoring.
Collaborate with stakeholders to define data-driven solutions for key business challenges.
Perform data wrangling, cleaning, and preprocessing to uncover trends and actionable insights.
Design, implement, and analyze A/B tests to evaluate product performance.
Develop and optimize statistical and machine learning models to drive business impact.
Create clear and compelling data visualizations and dashboards for diverse audiences.
Monitor and improve the performance of deployed models over time.
Stay up-to-date with the latest trends and tools in data analysis and machine learning.
3+ years of experience in data analysis, data science, or a related analytical role.
Strong proficiency in SQL and Python for data manipulation, analysis, and modeling.
Deep understanding of statistical concepts and their real-world applications.
Experience with A/B testing and experimental design.
Familiarity with machine learning algorithms and business applications.
Strong data visualization skills and the ability to communicate insights effectively.
Excellent collaboration and problem-solving skills with a results-driven mindset.
Experience in end-to-end data science projects, including model deployment.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Knowledge of advanced machine learning techniques (e.g., Scikit-learn, TensorFlow, PyTorch).
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