Data Analyst
2 days ago
Responsibilities:
· Analyze data, build dashboards, and support DS team in data analysis for ML/AI model building across Ride Hailing, Food, and Delivery sectors.
· Assist in writing weekly and monthly reports.
· Be an expert in using data to measure and analyze business performance in each of our markets and products.
· Explore business issues/opportunities, uncover insights, and identify targeted areas for business growth.
· Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to deep dive on core issues and use data to find answers.
· Research, develop, implement, and maintain forecasting models and decision-making models to improve business operations.
· Enjoy working on key projects of BE such as dispatch, pricing, and delivery, dealing with large datasets, and discovering interesting insights while working with a highly skilled ML/AI team, providing valuable learning experiences.
The day-to-day activities:
· Define, Measure and Monitor key metrics and alert the business on potential issues.
· Analyze operational efficiency and build business models to guide decision-making.
· Design market/business intelligence reports and performance measurement dashboards.
· Being involved in key projects of BE such as dispatch, pricing, and delivery.
· Working with large datasets, uncovering many interesting insights.
· The team's high proficiency in ML/AI offers great learning opportunities.
Requirements:
· University Graduate, preferably in Statistics, Mathematic, Computer Science or Economics.
· 1-3 years relevant work experience in an analytics or insights related role.
· Strong foundation in data query/manipulation using SQL.
· Experience with BigQuery, SuperSet or Redash, Python visualization libraries such as Matplotlib and Seaborn
· Experience creating dashboard reporting in Tableau, Power BI or a similar visualization tool a plus.
· Results and detail-oriented with continuous improvement mindset.
· Effective communication and organizational skills.
·
Great work ethic and 'can-do' attitude.
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