
5001 - 10000 employees
Founded 1997
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
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5001 - 10000 employees
Founded 1997
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
• Design and conduct statistical modeling and analysis based on business-level problem specifications • Lead experimentation and A/B testing to evaluate business hypotheses and inform decision-making • Perform ad hoc and deep-dive analytics to answer business questions, uncover insights, and identify opportunities • Analyze complex raw datasets with analytical rigor and explainability • Define KPIs, reporting workflows, dashboards, and data visualizations • Translate analytical results into insights through interactive dashboards or custom web applications • Communicate technical concepts, findings, and data-driven recommendations to non-technical stakeholders • Partner with stakeholders to understand business needs and translate requirements into analyses, experiments, and recommendations • Gather stakeholder requirements, conduct technical due diligence, and design analytical solutions • Work autonomously across the end-to-end analytics lifecycle • Collaborate with cross-functional teams on priorities, methodology, and deliverables
• Advanced/Fluent English • Proven industry experience developing predictive or inferential statistical models OR a Master’s/PhD in Mathematics, Statistics, Computer Science, or similar quantitative field • 4+ years of experience in data science, data engineering, or analytical roles • Strong proficiency in SQL and Python, with the ability to interface with each component in the full pipeline from data ingestion to insight • Hands-on experience with data analysis • Practical experience with experimentation/A/B testing • Experience with data visualization tools • Ability to work with strong autonomy, managing analyses end-to-end • Strong communication skills, able to engage directly with stakeholders and translate business needs into analytical work
• 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 • Competitive compensation package • Inclusive culture and support for growth • Reasonable accommodations during the interview process
Apply Now🕒 6 days ago
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