Web Analytics Engineer
Found in: Appcast Linkedin GBL C2 - 2 weeks ago
Job Title: Web Analytics Engineer
Locations: Hybrid Remote on any of the following locations:
- Chicago, IL
- Deerfield Beach, FL
- Washington, DC
- Princeton, NJ
- New York City, NY
- Farmington Hills, MI
Employment Term: Temp-to-Hire (6 months to convert to FTE)
Industry: Radio and Broadcasting Services
Important Note: Must have legal authorization to work in the United States. No Corp to Corp (C2C) or Visa sponsorship provided.
Job Overview:
The company Optimizations team is responsible for designing and implementing analytics solutions for multiple web properties, in addition to leading integration with third-party systems such as affiliate marketing vendors, compliance vendors, and more. This team of engineers supports company by writing code that makes data meaningful, allows the business to understand its users, and meets important legal obligations.
What you’ll do:
As an Analytics and Integration Engineer, you will be designing and implementing analytics solutions in the company Account Management, Purchase Flows, and Marketing Websites. Working closely with business stakeholders, application developers, and data analysts, you will write elegant and efficient client-side JavaScript, utilize Adobe Tags (formerly Launch), Adobe Analytics, and other technologies to help company learn how to better serve its customers. In addition, you will deploy affiliate marketing requirements and other third-party integrations to meet business and compliance needs.
Gathering of data is only meaningful if you can take meaning from it. An engineer with a history and passion for data analysis, reporting, and insights will be welcome.
A forward-thinker with an innovative streak, you think in terms of “how might we…” or “wouldn’t it be better if…” when engineering. Rather than only tackling a to-do list, you approach problems with an eye for continuous improvement and have the space to raise your ideas and carry them through.
What you’ll need:
- Bachelor's degree or equivalent work experience required
- Proficient in modern JavaScript with extensive hands-on experience
- Moderate proficiency in HTML and CSS for tag customization and troubleshooting
- Familiarity with both traditional server-rendered web and single-page applications
- Proven expertise in configuring and managing tags, rules, and data elements using Adobe Launch or Tag Manager platform or other similar technologies
- Knowledgeable in designing and implementing a data layer to optimize data collection and simplify the tagging process
- Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, or similar tools for seamless integration and data accuracy
- Experience using version control systems for handling changes and updates to tag configurations
- Analytical skills for understanding data requirements, business goals, and translating them into effective tag management strategies
- Proficient in generating reports and insights from tag data, providing actionable recommendations for enhancing website performance and user experience
- Familiarity with A/B testing methodologies and the capability to implement tags for tracking and optimizing experiments
- Knowledgeable in setting up and optimizing conversion tracking for various online goals and events
- Effective communication skills to engage with diverse stakeholders, including marketers, developers, and team members, for gathering requirements and providing updates on tag management activities
- Collaborative approach with cross-functional teams, including marketing, IT, and analytics, to ensure alignment on tagging strategies and goals
- Thorough documentation skills for creating and maintaining documentation related to tag implementations, data layers, and associated processes
- Commitment to staying informed about industry trends, updates to the Adobe Launch platform, and best practices in tag management and digital analytics
- Strong problem-solving skills for addressing challenges related to tag management and data tracking
- Meticulous attention to detail to guarantee accurate and consistent data collection
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