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.

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.

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

Data Analyst – Adobe Analytics

Key skills