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Company Overview
This company is a leading technology platform in Southeast Asia, providing everyday services like ride-hailing, food delivery, and digital payments to millions of users. They are driven by a mission to empower their communities by creating economic opportunities for everyone. Their analytics team plays a crucial role in driving innovation and solving complex challenges using their rich data.
Job Description
Senior Analytics Manager
Get to Know the Team
The Analytics team strives to answer the most pertinent questions of our service using our rich data. Here, innovation meets action. They are committed to solving the most pressing challenges for consumers, driver-partners, and merchant-partners using data. From improving the consumer experience to enhancing platform reliability, they aim to make their service the first choice, every time.
Get to Know the Role
As a Senior Analytics Manager, you will lead analytics teams working with Product, Business, Engineering, Design, and Data Science teams to understand data requirements, track key metrics, and provide data-driven insights. You will evaluate the feasibility of new business/product ideas and make appropriate recommendations. You will report into the Head of Analytics of a business vertical and work onsite in their One North office.
The Critical Tasks You Will Perform
You will explore business/ product opportunities, uncover insights, and identify areas for growth.
You will work with product and engineering teams to design experiments that influence key product decisions.
You will adapt in-production models for new markets to enhance product rollout.
You will direct expert teams to launch products/ services and broaden their data capabilities for deeper insights.
You will develop and test data-driven hypotheses to address key challenges.
You will create mixed effect and causal inference models to understand interaction effects or suboptimal product configurations.
You will establish and oversee anomaly detection systems to alert changes or anomalies in product or system metrics.
You will develop analytics tools to help data teams and other disciplines with debugging, data summarization, and result analysis.
You will support team members in their professional development, focusing on both technical.
You will foster a data-driven culture within the organisation, promoting the use of analytics in decision-making processes.
You will stay updated with the latest industry trends and advancements in analytics and data science.
You will develop strategies for data collection, data governance, and data quality control.
What Essential Skills You Will Need
They are looking for someone with at least 10 years in Analytics, Business Intelligence, or Data Science role.
You have expertise in maintaining high measurement standards, designing and analysing experiments, using SQL for data queries, and proficient in data visualisation tools like PowerBI.
You have experience with Big Data technologies such as Spark and PySpark.
You have foundation in statistics and practical experience with controlled experiments in the industry.
You have experience influencing product decisions based on quantitative analysis.
You have experience developing data strategies and policies.
You can explore new business/product opportunities and identify insights for growth.
You have experience leading expert teams, supporting professional development, and fostering data-driven culture.
You can create anomaly detection systems to monitor product metrics.
You can build analytics tools for debugging, data summarisation, and result analysis.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
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