Analytics Product Operations / Technical Business Analyst

Job Overview:

Pay Range $40hr - $45hr

Requirement/Must Have:

• Proven experience managing analytics request intake, facilitating prioritization, and coordinating workflows, preferably within an analytics or data-focused team.
• Expertise in agile methodologies (e.g., Scrum, Kanban) or similar structured approaches to manage iterative work, team capacity, and ensure efficient delivery of analytics projects.
• Ability to manage multiple competing priorities and deadlines effectively, ensuring alignment with team and IT delivery timelines.
• Demonstrated ability to elicit, document, and refine detailed analytical and technical requirements from IT and Experience partners.
• Experience facilitating requirements gathering sessions, workshops, and interviews with technical and product teams.
• Exceptional verbal and written communication skills, with a talent for building strong working relationships across technical teams (IT, Engineering) and Experience/Product teams.
• Skilled in managing expectations, providing clear updates on analytics projects and roadmap progress, and collaborating effectively to resolve roadblocks.
• Demonstrated experience in auditing digital analytics tags (e.g., Adobe Analytics, Google Analytics) and identifying instrumentation gaps.
• Ability to define and document precise tagging requirements and data quality standards for new initiatives or improvements.
• Understanding of how accurate data capture and instrumentation directly impact analytics outcomes and business insights.

Responsibilities:

• Develop and maintain the analytics roadmap.
• Manage analytics request intake and prioritization.
• Gather technical and analytical requirements from internal partners.
• Champion data quality and instrumentation standards.
• Facilitate internal partner collaboration and communication.
• Streamline analytics delivery workflow.

Nice to Have:

• Analytics roadmap development.
• Adobe Analytics Workspace proficiency.
• Agile/Scrum leadership.
• Basic understanding of digital analytics.
• Leveraging AI/ML for efficiency.

Skills:

• SQL.
• Tableau.
• Adobe Analytics.
• Adobe Workspace.
• Google Analytics.
• GA4.
• Tagging.
• Business Analysis.
• Requirements Gathering.
• User Stories.
• Functional Requirements.
• Agile.
• Instrumentation.
• Analytics Operations.

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities