Digital Analytics Lead Engineer

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.