Analyst III – Product Analytics, Adobe Analytics

This is a fully remote position, open to applicants in District of Columbia, +5 more states.

📋 Description

• Design, develop, and implement data models leveraging statistical and machine learning expertise.

• Specify, monitor, collect, analyze, and report metrics for product initiatives, encompassing revenue, reach, engagement, conversion rates, and web behavior.

• Conduct data mining and analysis from organizational databases to enhance product development, marketing strategies, and business tactics.

• Assist in the implementation and maintenance of digital analytics tools, such as Google Analytics, Adobe Analytics, and DTM.

• Define implementation requirements and functional/tagging specification documents in collaboration with business analysts.

• Maintain documentation via Adobe Analytics SDR (Solutions Design Reference).

• Apply best practices for digital analytics and insights across various products.

• Develop, customize, and troubleshoot events and tags utilizing JavaScript, XML, HTML, and CSS.

• Implement analytics tracking codes and support quality assurance across web properties.

• Design and create data visualizations using Tableau and similar platforms.

• Collaborate with Product and digital marketing teams on metrics, tagging, and taxonomy.

• Establish and uphold analytic standards, best practices, and testing strategies across functions.

• Educate teams through the creation of training materials, standards documentation, and regular analytics training sessions.

• Identify enhancements for digital analytics front-end implementation using both internal and external data.

• Detect online data collection issues and collaborate with development and product teams to resolve them.

• Mentor junior analysts.

⛳️ Requirements

• Bachelor's Degree with 6+ years of experience.

• Proficiency in Adobe Analytics and the Digital Data domain.

• Experience in analyzing and generating actionable insights for digital products and experiences.

• Strong communication skills to articulate data and insights into a performance data narrative that informs strategy and optimization.

• Proficient in Excel or similar spreadsheet applications for analysis, validation, and reporting purposes.

• Self-driven with a robust intellectual curiosity; adept at working with large data sets from multiple sources.

• Familiarity with website tagging and tracking conversion paths/journeys.

• Experience building data queries in SQL is advantageous.

• Proven ability to leverage analytics tools to influence business decisions.

• In-depth understanding of tagging structure, setup, and functional capabilities.

• Capability to devise experimental and analytic plans for data modeling processes.

• Ability to establish strong baselines and accurately assess cause-and-effect relationships.

• Knowledge of statistical measures such as confidence intervals, significance of error measurements, and the development and evaluation of data sets.

• Proven track record of identifying hidden patterns in data and conducting error/deviation analysis.

• Experience with statistical modeling and machine learning techniques.

• Basic understanding of experimentation or A/B testing concepts, including hypotheses, success metrics, guardrails, and results interpretation.

• Familiarity with digital analytics measurement concepts, such as events, dimensions, conversion, engagement, segmentation, persistence, attribution, baselines, and trend analysis.

• Working knowledge of data layers and Adobe Launch or Tags.

• Ability to interpret analytics requirements and support validation through browser developer tools.

• Advanced implementation coding skills are not a requirement.

🏝️ Benefits

• Core Medical Coverage: affordable, low deductible Medical, Dental, and Vision Insurance plans.

• 401K Retirement Plan with a 7% Employer Contribution.

• Generous Paid Time Off.

• Maternity / Paternity Leave.

• Infertility Treatment Program.

• Adoption Assistance.

• Education Assistance.

• Opportunities for Enterprise Learning and Development.