
Data Analyst – Adobe Analytics
Posted May 20

Posted May 20
This is a fully remote position, open to applicants in Colombia.
• Lead the creation, enhancement, and continuous management of dashboards, reporting solutions, and ongoing performance analysis.
• Convert business inquiries into structured analytical methodologies, reporting specifications, data requirements, and design outputs with minimal supervision.
• Examine structured data to uncover trends, anomalies, business drivers, and actionable opportunities.
• Take ownership of lightweight transformation logic and data modeling that is ready for dashboards, ensuring accurate and scalable analytics outputs.
• Implement and reinforce semantic modeling practices by defining, documenting, and sustaining consistent business logic for metrics, dimensions, and KPIs.
• Ensure data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in collaboration with adjacent teams as necessary.
• Distill analysis into clear findings, implications, and recommendations for both internal and client stakeholders.
• Facilitate stakeholder discussions by clearly articulating performance changes, report logic, assumptions, and suggested actions.
• Collaborate with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to guarantee that analytics outputs align with measurement design, platform realities, and business needs.
• Enhance analytics delivery by spotting opportunities for improved reporting structures, clearer metric definitions, better documentation, and more scalable analysis workflows.
• Contribute to governance practices by adhering to established privacy, measurement, and data-quality standards in daily tasks.
• Comprehensive working knowledge of digital analytics, reporting, dashboarding, and performance measurement.
• Capacity to independently manage recurring analytics workstreams and generate reliable outputs with minimal oversight.
• Solid understanding of data structures, joins, dimensions, metrics, KPI logic, and principles of dashboard design.
• Ability to transform data into clear, business-relevant insights and recommendations.
• Strong analytical problem-solving abilities, including investigating anomalies and identifying potential performance drivers.
• Working knowledge of semantic modeling and the importance of consistent business definitions in scalable analytics.
• Capability to balance technical precision with stakeholder usability in reports and dashboards.
• Excellent written and verbal communication skills in English, with the ability to present findings clearly to non-technical audiences.
• Keen attention to detail with a methodical approach to validation, QA, and documentation.
• Ability to work effectively across distributed teams in the Americas, collaborating across functions, time zones, and client contexts.
• Flexibility, with remote and hybrid work options (depending on the country).
• Opportunities for career advancement, including international mobility and professional development programs.
• Access to learning and development resources, featuring cutting-edge tools, training, and industry experts.
Infomineo
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