Job Description
Job Description
The role is responsible for leading the MarTech & product analytics team that drives digital data strategy, tagging, marketing execution, web analytics, insights, and testing. Specific tasks include implementation of tags in the mobile app and website for analytics, querying session level digital data, building insights for site optimization, visitor profiling including look-a-like targeting, and the syndication of data via APIs to and from real-time systems. The individual will help define and execute a framework to build and manage digital tagging, analytics, and insights across our enterprise digital assets. This strategy will incorporate end-to-end customer journeys, both online and offline. Expand capabilities to bridge the streaming digital data (site interactions, digital engagement, etc.) with 1st and 3rd party data (loyalty, services, depth of relationship, etc.) to build the insights and signals that can drive growth. Partner closely with Marketing and Product Owners, Data and Analytics teammates, cross-functional Technology partners, and key business stakeholders helping them define and prioritize requests. They will also partner closely with vender and their development teams to coordinate complex projects in distributed locations. The ideal candidate will function as a highly influential, organized, and effective leader in global organization.
Primary Duties & Responsibilities:
- Support the future state data and analytics strategy that integrates broader strategic and organizational initiatives through digitization and data-driven decision making.
- Run concurrent digital marketing and product analytics projects.
- Analyze website and mobile app data on traffic sources and patterns.
- Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance.
- Disseminate insights through visual storytelling and dashboards.
- Build advanced analytics that can identify drivers, root cause, and prescriptive insights including the use of propensity modeling, recommendation algorithms, unsupervised clustering, and other machine learning techniques.
- Foster a culture of data literacy to drive impact.
- Ensure a culture of data privacy and governance, including establishing controls.
Education & Qualifications:
- Bachelor’s degree or experience in relevant field/equivalent work experience
- 5–7 years of experience in tag management, digital marketing, and digital data analysis.
- Expertise in tag development, auditing, and validation using JavaScript, jQuery, and third-party APIs, with deep knowledge of tools like Tealium IQ, Adobe Tag Manager, and Google Tag Manager.
- Strong understanding of digital data sources, SDKs, Customer Data Platforms (CDPs), and MarTech integrations for ad targeting, campaign management, and personalization.
- Experience implementing server-side data collection and cloud-based integrations (AWS, GCP) using SQL, Athena, Redshift, and BigQuery.
- Proficiency in mining clickstream and event data for session-level mobile and web analysis.
- Skilled in performance marketing analytics, including A/B testing, ad spend optimization, and multi-touch attribution modeling.
- Advanced user of Google Analytics 4 (GA4), with experience in dashboard/report creation, funnel tracking, segmentation, and attribution reporting.
- Ability to create intuitive, interactive dashboards using Quicksight, Looker, PowerBI, or Tableau.
- Strong background in customer journey mapping, audience segmentation, and behavioral analysis.
- Experience implementing and testing API-based solutions for functionality, performance, and security.
Desire Requirements (Not Mandatory):
- Experimentation & Personalization: Proficiency with A/B testing tools and personalization engines to optimize CX and measure impact.
- Data-Driven Mindset with BI Fluency: Comfort working with CX metrics, dashboards, and collaborating with BI/analytics teams to derive insights from behavioral and transactional data.