Digital Analytics Lead Engineer

Newark, DE - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Digital Analytics Lead Engineer
Location: Newark New Jersey
Experience: 12 Years
Employment: Contract
Interview Type: In-Person or Webcam

Job Summary:

We are seeking a highly experienced Digital Analytics Lead Engineer to drive the strategy design and implementation of digital analytics solutions. This role requires a deep understanding of data-driven decision-making analytics platforms and digital measurement frameworks. The ideal candidate will combine technical expertise with business insight to enable actionable insights and optimize digital performance.

Key Responsibilities:

Lead the design development and deployment of digital analytics solutions across web mobile and other digital platforms.
Define and implement digital measurement strategies KPIs and reporting frameworks aligned with business objectives.
Oversee tagging tracking and integration of analytics tools (e.g. Adobe Analytics Google Analytics Tealium Segment).
Collaborate with business stakeholders marketing teams and IT to translate requirements into actionable analytics solutions.
Conduct advanced data analysis segmentation and visualization to uncover insights that drive business decisions.
Ensure data quality governance and compliance across all digital analytics initiatives.
Mentor and guide junior analytics engineers fostering best practices and technical excellence.
Stay current with emerging analytics technologies trends and methodologies to continuously improve capabilities.

Required Skills and Qualifications:

Minimum 12 years of experience in digital analytics data engineering or related roles.
Strong expertise in analytics platforms such as Google Analytics 360 Adobe Analytics or equivalent.
Hands-on experience with tag management systems (e.g. Tealium GTM Adobe Launch).
Proficiency in SQL Python R or other data analysis languages for extracting and manipulating large datasets.
Solid understanding of web and mobile technologies APIs and data integration methods.
Experience in data visualization tools such as Tableau Power BI or Looker.
Strong problem-solving analytical and communication skills.
Ability to lead cross-functional teams and influence stakeholders at all levels.
Knowledge of privacy regulations (e.g. GDPR CCPA) and best practices for data governance.

Role: Digital Analytics Lead Engineer Location: Newark New Jersey Experience: 12 Years Employment: Contract Interview Type: In-Person or Webcam Job Summary: We are seeking a highly experienced Digital Analytics Lead Engineer to drive the strategy design and implementation of digital analytics soluti...

Role: Digital Analytics Lead Engineer
Location: Newark New Jersey
Experience: 12 Years
Employment: Contract
Interview Type: In-Person or Webcam

Job Summary:

Key Responsibilities:

Lead the design development and deployment of digital analytics solutions across web mobile and other digital platforms.
Define and implement digital measurement strategies KPIs and reporting frameworks aligned with business objectives.
Oversee tagging tracking and integration of analytics tools (e.g. Adobe Analytics Google Analytics Tealium Segment).
Collaborate with business stakeholders marketing teams and IT to translate requirements into actionable analytics solutions.
Conduct advanced data analysis segmentation and visualization to uncover insights that drive business decisions.
Ensure data quality governance and compliance across all digital analytics initiatives.
Mentor and guide junior analytics engineers fostering best practices and technical excellence.
Stay current with emerging analytics technologies trends and methodologies to continuously improve capabilities.

Required Skills and Qualifications:

Minimum 12 years of experience in digital analytics data engineering or related roles.
Strong expertise in analytics platforms such as Google Analytics 360 Adobe Analytics or equivalent.
Hands-on experience with tag management systems (e.g. Tealium GTM Adobe Launch).
Proficiency in SQL Python R or other data analysis languages for extracting and manipulating large datasets.
Solid understanding of web and mobile technologies APIs and data integration methods.
Experience in data visualization tools such as Tableau Power BI or Looker.
Strong problem-solving analytical and communication skills.
Ability to lead cross-functional teams and influence stakeholders at all levels.
Knowledge of privacy regulations (e.g. GDPR CCPA) and best practices for data governance.