Chengbao is looking for a Data Team Lead / Senior Analytics Manager. 

This role is a unique opportunity to help millions of users, and also work with a broad range of stakeholders within the organization. If you have a knack for bringing solutions through data by leading a team of highly motivated and devoted individuals… we’re looking for you!

Responsibilities

As the manager of the data team, you will:

• Manage a team of passionate analysts, engineers and data scientists – help them flourish (includes hiring as needed)
• Work closely with stakeholders to collect requirements, structure work tasks and provide insights and requests
• Prioritize projects (through epics and sprints) to efficiently enable stakeholders to answer company-wide business intelligence questions
• Offer technical solutions around ETL tools, data platform and warehouse, and visualization
• Push further the capabilities and services of the data team

Requirements

• 3+ years experience managing people
• With excellent communication skills, you can manage several stakeholders
• Experienced cross team project manager
• You have a good sense of priority and are able to triage between important and urgent tasks
• Problem solver: you can think out of the box to propose solutions while staying in the time commitment
• Quick learner: you are keen to learn about new tools, technologies and models quickly and you have the ability to apply them to deliver a project
• You have a general knowledge and understanding of ETL tools and processes
• You are familiar with building development environments and pipelines to train machine learning models, monitor their performance and bring them to production
• Know how to avoid common insight pitfalls and fallacies through statistics
• Proficient in at least one programming language
• You have deployed dashboards to a broad range of users
• Familiar with agile methodologies
• Fluent in English

Optional

• Degree in computer sciences preferred
• Experience with Apache Airflow, Spark, Hadoop, AWS services (Redshift, S3, Redis, Athena, Sagemaker, Kinesis Data Firehose) and/or Google Services (GCP, BigQuery, GA 360)
• Proficient with Python, pandas, matplotlib, Jupyter Notebooks
• Familiar with visualization tools such as Tableau or Qlik