Data Analyst Sr

Valtech is hiring a Senior Data Analyst within its Analytics, Intelligence, & Optimization team. The role leads reporting, dashboarding, and performance analysis, translating business questions into actionable insights and supporting decision-making for internal and client stakeholders.

Responsibilities:

• 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
• Validate data quality, troubleshoot reporting issues, and resolve 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
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows
• Serves as a dependable analytics partner to internal teams and client stakeholders across reporting, dashboarding, and insight generation needs
• Partners with stakeholder Data Engineering and Platform teams when reporting requirements or data logic require more scalable or technical solutions
• Participates confidently in client-facing discussions by explaining methodology, findings, reporting logic, and implications in clear business language
• Helps create consistency across team delivery by improving documentation, sharing best practices, and supporting more junior practitioners

Requirements:

• 3+ YEARS of experience
• Extensive experience creating scalable, stakeholder facing reporting solutions in Tableau
• Demonstrated experience with Python and SQL
• Experience working in cloud-based data environments (Microsoft Azure, GCP, AWS)
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight
• 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
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences
• Expected to be an active adopter of approved AI-enabled analytics and productivity tools that improve the speed, clarity, and quality of reporting, insight generation, documentation, and stakeholder communication
• Uses AI-assisted workflows to help explore patterns, summarize findings, draft analysis narratives, validate assumptions, improve metric documentation, and accelerate repeatable reporting tasks while maintaining human accountability for analytical judgment, data accuracy, business interpretation, and final recommendations
• Understands that AI-generated analysis, summaries, or recommendations must be checked against source data, metric definitions, business context, and governance expectations before being shared or used for decision-making
• Demonstrates curiosity and practical enthusiasm for how AI can improve analytics quality, productivity, and decision support without replacing disciplined analysis or stakeholder reasoning
• At this level, AI fluency means reliable use within workstreams
• Expected to apply approved AI-assisted workflows to improve delivery quality, repeatability, documentation, and stakeholder communication, and to help junior practitioners understand where AI can and cannot be used responsibly
• Experienced in Agile methodologies and consulting (a plus)
• Databricks experience and/or certifications
• Knowledge of finance business concepts and analytics approaches especially within a retail product pricing context
• Familiarity with other business intelligence platforms (Power BI, Looker)
• Additional analytics, business intelligence, or experimentation platform experience and training as relevant