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Data Technology Consultant
dentsu Austria. Advise clients on data, analytics, measurement, and technology opportunities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in digital measurement, analytics, and data architecture, with a focus on connecting technology decisions to business outcomes. Capable of advising clients on data strategies, measurement quality, and building scalable data foundations for enhanced performance and decision-making.
Highest-signal resume keywords
Digital Measurement ExpertiseGA4 And/Or Adobe Analytics ExperienceGoogle Tag Manager ExperienceData Modelling And GovernanceConsulting And Advisory Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Digital MeasurementAnalyticsCustomer Journey AnalysisData IntegrationData QualityData ArchitectureExperimentation PlatformsOptimisation PlatformsData Trustworthiness AssessmentScalable Data Foundations
Soft Skills
Building TrustSimplifying ComplexityConnecting Technology To Business OutcomesWorking With Senior Executives
Tools & Technologies
GA4Adobe AnalyticsGoogle Tag ManagerAdobe LaunchMicrosoft FabricDatabricksSnowflakeBigQueryCustomer Data PlatformsMarketing Technology Ecosystems
Tech Stack
Tools & technologiesBigQuery
About the role
Key responsibilities & impact- Advise clients on data, analytics, measurement, and technology opportunities
- Assess current capabilities and identify opportunities to increase business value
- Shape measurement strategies, data capabilities, technology roadmaps, and investment priorities
- Connect business objectives with practical and scalable solutions
- Support business development by turning client challenges into credible, deliverable approaches
- Act as a trusted advisor to senior business and technical stakeholders
- Help clients improve performance, increase digital maturity, and use data to drive business outcomes
- Help clients build scalable measurement capabilities and data architectures
- Guide clients on data value, foundations, investment priorities, and practical paths forward
- Work closely with client teams
Requirements
What you’ll need- Strong expertise in digital measurement, tracking, analytics, and customer journey analysis
- Experience with GA4 and/or Adobe Analytics
- Experience with Google Tag Manager, Adobe Launch, or similar solutions
- Experience with experimentation and optimisation platforms
- Ability to assess measurement quality and data trustworthiness
- Strong understanding of data modelling, integration, governance, and quality
- Experience with Microsoft Fabric, Databricks, Snowflake, BigQuery, or similar platforms
- Understanding of Customer Data Platforms and marketing technology ecosystems
- Ability to establish scalable data foundations for analytics, decisioning, personalisation, and AI
- Ability to build trust, simplify complexity, and connect technology decisions to business outcomes
- Comfortable working with senior executives and technical specialists
- Consulting and advisory experience
- No educational credential is specified
Benefits
Comp & perks- Diverse and inclusive workplace
- Collaboration, creativity, and initiative encouraged
- Opportunity to work with global brands and client teams
- Permanent employment contract