It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Are you passionate about building the data foundations for a world-class Marketing Analytics team? Does experimenting with new platforms, learning new technologies, and working in a lively collaborative environment, excite you? If so, we have a role for you!
The day-to-day

• Setup and administer various Analytics Platforms like Google Analytics, Server-side Google Tag Manager & Google Optimize.
• Integrate Google Analytics with backend transaction systems, using Measurement Protocol, to ensure accurate revenue tracking and attribution.
• Ensure accurate revenue conversions and event tracking in Google Analytics, Google Ads, Facebook Ads, LinkedIn Ads, and other Marketing Platforms.
• Setup consistent Event Models, accurate Channel Grouping, Goals and Audiences, across all sites in Google Analytics.
• Build processes in DBT that consolidate key daily metrics, for downstream reporting and analytics.
• Deliver well-defined, easy-to-use, transformed, tested, documented, and code reviewed data sets to stakeholders across the organization so that they can answer business questions accurately.
• Setup data quality tracking and alerting processes, to monitor data consistency between systems.
• Setup AB tests accurately in Google Optimize, for univariate and multivariate tests. Monitor live tests to ensure data accuracy.
• Implement data catalogs and own the definition, collection, and documentation of our data sources

Must-have experience

• Hands-on experience setting up and administering Google Analytics, Google Tag Manager, Server Side Google Tag Manager, and Google Optimize.
• Experience building Big Data processing workflows, preferably in DBT.
• Experience setting up revenue tracking in Google Analytics, preferably using Measurement Protocol.
• Ability to write advanced high-performance SQL queries in a Big Data
  environment.

Preferred experience

• Bachelor's degree in Engineering, Business, Math, Statistics, or a related field.
• Experience setting up reliable data ingestion pipelines from various Marketing and Analytics platforms to Google Cloud Platform (Big Query).
• Experience building Data Quality tracking and alerting mechanisms in a Big Data environment.
• Programming skills in at least one language like Python or Java.
• Experience developing automated dashboards in Looker, Google Data Studio, Tableau, or Power BI.
• Strong skills with Excel and Microsoft Office and/or G-Suite required.
• Operate comfortably in a fast-growing and quickly evolving environment.
• Demonstrate initiative, desire to learn, and work ethic.
• Strong verbal and written communication skills.
• Experience building data science models to predict the performance of Marketing Spend, Lifetime Value of newly acquired customers, sensitivity of Marketing Spending on new customer acquisition across various channels, or future revenue based on multiple factors.

The perks and benefits:

• Compensation (We offer market competitive salaries)
• Health Benefits (100% Paid Employee Medical, Dental, and Vision)
• 401(k) (Make the most of retirement)
• Life and Disability Insurance (100% Paid Life, STD, LTD and AD&D)
• Generous Vacation Time (Who doesn't like time off)
• Transportation (Downtown parking or commuter reimbursement)
• Lunch (Provided Monday - Thursday)
• Gym membership discount

At WP Engine, we strive to have the broadest possible view of diversity, going beyond visible differences to include the background, experiences, skills, and perspectives that make each person unique. WP Engine is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, or any other basis protected by federal, state, or local law.
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