Pernod Analytics LLC in Los Angeles, CA
- Industry: Information Technology - Data Architect/Analyst/Administrator
- Type: Full Time
- Compensation: $106,086.67 - 149,340.00 / Year*
- Have strong marketing technology platform experience (from a configuration standpoint, more than just as a reporting user)?
- Have strength in the areas of tracking and tagging setup and validation?
- Have comfortability working in code and data to support ETL, data logic, and automation?
If you answered YES to these questions, I would like to speak with you.
Analytics Enablement Engineer
BASIC JOB FUNCTION
The Senior Analytics Enablement Engineer defines and implements analytics technology solutions in support of the data enablement needs of client initiatives. This person will architect, document, and implement a wide-range of analytics solutions including platform configuration, tag management, data extraction, and script development to facilitate automation goals. This role is a strategic and technical role requiring analytics and development knowledge and skills. Familiarity with ESPs (email service providers), web analytics software, tag management systems, digital media platforms, and ETL tools is critical in this role. Analytics Enablement exists at the intersection between analytics and technology, as a division of the Marketing Sciences Center of Excellence.
Tealium, Ensighten, Google Tag Manager or other CDP experience a must.
Perform discovery of client marketing and analytics data ecosystems
Author and maintain clear documentation for client initiatives, producing flow diagrams and technical specifications, thereby providing comprehensive requirements and documentation for developers and stakeholders
Configure applied data platforms including visualization/dashboard, ETL-as-a-service, web analytics, and mobile measurement
Execute tag management implementation using platforms such as Google Tag Manager and provide comprehensive validation of all tracking points to ensure measurement accuracy
Query data to support the verification of integration and pipeline accuracy, while ensuring data quality through audits and automated QA processes
Administer applied data platforms in a centralized manner to maintain consistency across local offices and widespread adherence to security and consumer privacy best practices
Minimum 5-7 years of analytics and technology experience
An understanding of core marketing analytics concepts including impressions, clicks, pageviews, events, sessions, users, conversions, and attribution models
An understanding of ETL concepts including the data integration pipeline, staging tables, incremental loading, SCD, data quality, business logic, and views
Experience loading, transforming, and retrieving data from various databases including MS SQL Server, Redshift, and PostgreSQL
Experience utilizing tag management systems, including Google Tag Manager and Ensighten for deployment of analytics tracking tags on pageview-based websites, single-page applications, and mobile apps
Experience with web analytics and digital media platforms such as Google Analytics / Ads / Campaign Manager / DV360 / SA360, Bing Ads, Kenshoo, Facebook Business, Sizmek, Kochava, Salesforce Marketing Cloud, and Adobe Analytics
Experience configuring Google Analytics Accounts, Properties, and Views, including the creation of Goals, Filters, Custom Dimension/Metrics, and Segments
Google Analytics Individual Qualification and Adobe Analytics Implementation Certification a plus
Experience with cloud services including Microsoft Azure and Amazon Web Services a plus
Experience with ETL-as-a-service platforms including Datorama, Fivetran, or Alooma a plus
Problem-Solving & Commitment: Ability to solve measurement and business
challenges through technical creativity, while maintaining a continuing education commitment to remain current on analytics technology
- Personal Traits: Passionate about problem solving in the areas of marketing, data, analytics, and technology; excellent verbal and written communication skills
Associated topics: data analyst, data center, data engineer, data management, data warehousing, database administrator, etl, erp, hbase, sql
* Estimated salary
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