VP of Data Analytics
Pasadena, CA, USA | Leading Internet / Online Media Company
Industry:Internet / Online Media
Job Description:51 people have viewed this job
As the VP of Data Analytics, you will be responsible for collecting, managing, and analyzing user data and product data to provide business intelligence solutions for Product, Marketing, Finance, and Operations teams.You will manage our team of action-oriented data scientists and analysts, lead and promote our data-focused culture, and act as a key stakeholder in enhancing our data technologies. This position reports directly to the CTO and is expected to have a high impact on the organization.
Collect, manage, and analyze user and product data
Identify, prepare, and analyze data across a wide range of domains
Integrate data collection, data quality, and core model output into production
Ensure and improve data integrity, data accuracy, and data quality
Work with data engineering team to build a scalable data infrastructure that enables activity tracking, audience profiling, and other data analytics
Establish best practices for big-data technologies, tools, and processes
Own the process of model selection, accuracy, and efficiency
Identify new data sources to enhance analytics
Provide business intelligence across the organization
Collaborate with all teams to find growth levers and optimization opportunities
Define business questions and problem statements
Offer actionable business recommendations based on empirical data and external factors
Develop and manage audience profiling
Manage and improve the LTV model
Apply data mining techniques to uncover actionable product insights
Manage user journey path, on-page activity, and other customer behavior
Own and improve our A/B and MVT experimentation process
Manage a high-performing team of data scientists and analysts
Set the vision and strategy for analytics with a focus on creating customer value
Establish a long-term roadmap for providing deep business intelligence
Work with data engineers, ETL developers, and data architects
Drive data-driven decisions and advance our data-focused culture
A Bachelor’s degree in Computer Science, Economics, Information Systems, Statistics, Operations Research, Applied Math, or any other related field
7+ years of experience in data analytics, web analytics, and marketing analytics
5+ years of experience with data warehouses and ETL
3+ years of experience managing data analysts, business analysts, data scientists, data engineers, and ETL engineers
Expert experience with SQL for data transformations, profiling, and query tasks
Experience with statistical and machine learning tools like Python, R, SAS, etc.
Experience with ETL tools like Pentaho, Talend, and Informatica
Experience with open-source big-data tools such as Spark, Hive, HBase, Parquet, Hadoop, HDFS, map-reduce, etc.
Experience with cloud platforms like AWS, Azure, Google Cloud, etc.
Experience with data visualization and BI tools like Tableau and Looker
Experience with web analytics products like Google Analytics, Omniture, Snowplow, etc.
Experience with A/B test and experimental designs
Experience in agile environments such as Scrum and Kanban
Great skills in communication and stakeholder management