Data Analyst – Adobe Analytics

Role Overview

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis.
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight.
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities.
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs.
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs.
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed.
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders.
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions.
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs.
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows.
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work.

Requirements

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement.
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight.
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles.
• Ability to turn data into clear, business-relevant insights and recommendations.
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance.
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics.
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards.
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences.
• Strong attention to detail with a disciplined approach to validation, QA, and documentation.
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts.

Benefits

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training and industry experts