As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.
Responsibilities:
Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.
Requirements:
Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
5+ years of practical data experience in big data businesses.
2+ years of experience managing a multidisciplinary data department including Analytics, Data Science and Data engineering teams.
2+ years of experience in a B2C
Strong understanding of ML, statistics and hands-on experience with SQL, Python, and data visualization tools.
Excellent analytical skills with experience in querying large, complex data sets.
Strong familiarity with cloud based DWH like BigQuery / Snowflake / Redshift – an advantage.
2+ years of experience in managing team leads – an advantage.
Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.
Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
5+ years of practical data experience in big data businesses.
2+ years of experience managing a multidisciplinary data department including Analytics, Data Science and Data engineering teams.
2+ years of experience in a B2C
Strong understanding of ML, statistics and hands-on experience with SQL, Python, and data visualization tools.
Excellent analytical skills with experience in querying large, complex data sets.
Strong familiarity with cloud based DWH like BigQuery / Snowflake / Redshift – an advantage.
2+ years of experience in managing team leads – an advantage.
Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.
This position is open to all candidates.
