In the story of Snappfood, we believe in creating value that goes beyond the ordinary. We are willing to establish innovative tendencies and are eager to have you on our team to help us get through our business challenges with creativity, intelligence, and agility.
We are waiting for you to continue this story.
Responsibilities:
Data Analysis & Insights
Utilize SQL for Data Querying: Conduct intermediate-level data querying using SQL to extract and analyze large datasets, ensuring data accuracy and reliability.
Order Pattern Analysis & Unit Economics: Identify and analyze ordering patterns of users to calculate the unit economics of their orders, providing insights into customer behavior and profitability.
Performance Monitoring: Continuously monitor and evaluate the performance and effectiveness of data solutions, generating reports and making data-driven recommendations for optimization and enhancement.
Data Documentation: Produce comprehensive Microsoft Excel reports and written documentation to demonstrate findings, trends, and insights to stakeholders in a clear and concise manner.
Data Modeling & Solution Development
Data Model Design & Development: Design and develop data models that align with business objectives and team requirements, ensuring they are scalable, maintainable, and meet the strategic goals of the department.
Continuous Improvement: Regularly assess data models and solutions, identifying opportunities for improvements, and implement changes to enhance their effectiveness and alignment with business needs.
Support & Training
End User Support: Provide training and ongoing support to end users on analytics tools, ensuring they are empowered to effectively utilize these tools for their decision-making processes.
Collaborative Engagement: Work closely with cross-functional teams, including IT, product management, and operations, to ensure data models and insights are aligned with broader business strategies.
Strategic Contribution
Strategic Insights Contribution: Contribute to the development and refinement of business strategies by providing data-driven insights and recommendations based on thorough analysis.
Innovation & Best Practices: Stay updated with industry trends, best practices, and emerging technologies in data analytics to ensure the team remains at the forefront of innovation.
Excel, SQL, and Python skills.
Proficient at Python scripting and using basic Python libraries
The ability to draw conclusions from data and create business predictions.
Able to work with cross-functional teams and have the maturity to interact directly with senior executives across departments and provide consultation to departments on implementing strategic initiatives.
Excellent written communication skills in English.
Benefits:
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