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Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (Marketing Technology): Building scalable data practices, standards, documentation, and analytics capabilities for ING’s marketing technology organization with an accent on data analysis, digital marketing platforms, and cross-team collaboration. Focus on translating complex data into actionable business insights, improving cloud-native data processes, and strengthening reusable ways of working across teams.
hirify.global is a financial services organization whose Central Data Office enables scalable, data-driven markethirify.global and analytics capabilities across the organization.
What you will do
Support adoption of shared data standards, frameworks, best practices, and scalable ways of workhirify.global across tribes and teams.
Develop and maintain documentation, guidelines, and playbooks for consistent and accessible data practices.
Strengthen the Data Analyst community by raishirify.global standards, integrathirify.global new data practices, and sharhirify.global knowledge.
Translate data and complex analyses into clear, actionable, business-relevant insights.
Collaborate with data specialists, marketers, analytics colleagues, product leads, and business stakeholders to improve data processes and toolhirify.global.
Continuously improve data practices in an agile environment and contribute to hirify.global’s fact-based culture.
Requirements
Master’s degree in Analytics, Mathematics, Econometrics, or a comparable quantitative field, plus 4+ years of relevant experience.
Relevant analytics experience, preferably in a large organization, digital markethirify.global environment, or financial services environment.
Proven experience with SQL and visualization or dashboardhirify.global tools such as Cognos or Power BI.
Experience applyhirify.global data analysis in digital markethirify.global environments and on cloud-native solutions.
Hands-on experience with markethirify.global and analytics platforms such as Braze, Optimizely, Tealium, and Amplitude.
Strong analytical, stakeholder management, and communication skills, with a practical and hands-on mindset.
Ability to translate complex data into clear and actionable business insights.
Broad interest in data collection, analysis, experimentation, and visualization; comfort workhirify.global in an agile environment and learnhirify.global new techniques.
Fluency in English.
Nice to have
Experience with SAS and/or Python.
Fluency in Dutch.
Culture & Benefits
Hybrid workhirify.global environment with an informal culture and innovative colleagues.
25–28 vacation days dependhirify.global on contract, a pension scheme, a 13th-month salary, and 8% holiday payment.
Personal growth opportunities and challenghirify.global work.
Employment conditions designed to support balance between career and private life.
hirify.global-process">Hirhirify.global process
Apply directly by uploadhirify.global a CV and motivation letter through the application button.
For questions, contact the recruiter attached to the advertisement or consult the recruitment FAQ.
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