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At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making.
Job Responsibility:
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
Nice to have:
Google Analytics certification or equivalent GA4 learning path
Adobe Analytics learning path or platform training
Looker, Tableau, or Power BI certification
SQL certification or equivalent applied coursework
What we offer:
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