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VP of Data Analytics

Pasadena, CA, USA | Spokeo

  • Industry:
    Internet / Online Media
  • Position Type:
  • Functions:
    General Management
  • Experience:
    7-10 years
Job Description:
58 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

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