Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
dentsu Austria

Senior Analyst, Data Science

dentsu Austria

. Define marketing goals, success metrics, learning agendas, and measurement strategies .

Posted 10/27/2026full-timeUnited StatesSenior💰 $46 - $61 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, A/B testing, and statistical methods to drive marketing effectiveness. Proficient in SQL and Python for data manipulation and visualization, with a strong ability to communicate insights to stakeholders.

Highest-signal resume keywords
Advanced SQL SkillsProficiency In PythonStatistical Methods KnowledgeA/B Test Design And AnalysisData Pipeline Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisStatistical MethodsA/B TestingHypothesis TestingExperimental DesignCausal InferenceData IntegrationData TransformationAutomated ReportingSample-Size Calculations
Soft Skills
Cross-Functional CollaborationStakeholder ManagementClear CommunicationProactive Risk ManagementKnowledge Sharing
Tools & Technologies
AI ToolsAnalytical LibrariesVisualization LibrariesMeasurement InfrastructureReporting Tools
Industry Keywords
Marketing EffectivenessCampaign MeasurementConsumer Sentiment AnalysisGeo ExperimentsBrand Lift Studies

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Define marketing goals, success metrics, learning agendas, and measurement strategies
  • Own campaign measurement from pre-launch planning through in-flight monitoring and post-campaign evaluation
  • Identify campaign performance issues and recommend optimizations
  • Design, execute, and analyze A/B tests, holdout tests, geo experiments, and brand lift studies
  • Develop hypotheses, success metrics, sample-size and power calculations, test validation, and actionable recommendations
  • Integrate consumer sentiment, survey responses, and behavioral data to develop audience insights
  • Translate findings into recommendations on campaign strategy, media optimization, and investment
  • Guide stakeholders in interpreting results and applying insights to business decisions
  • Develop scalable models, dashboards, reporting tools, AI-enabled automations, and measurement infrastructure
  • Drive analytical tool development from scoping and brainstorming through prototyping and deployment
  • Partner with marketing, media, research, growth, product, and data engineering teams
  • Prioritize opportunities, align delivery plans, and present recommendations to leadership
  • Lead focused research and knowledge-sharing initiatives
  • Evaluate new methodologies and tools that improve analytical quality, efficiency, and marketing effectiveness

Requirements

What you’ll need
  • Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience
  • 3+ years of experience in data science, analytics, or a related quantitative role
  • Advanced SQL skills and experience querying, analyzing, and validating large datasets
  • Proficiency in Python or R, with experience using relevant analytical and visualization libraries
  • Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference
  • Hands-on experience designing and analyzing A/B tests and measuring marketing impact
  • Experience building and maintaining data pipelines and analytical datasets using SQL and Python
  • Experience with data integration, transformation, validation, and automated reporting
  • Ability to independently manage cross-functional stakeholder relationships
  • Ability to communicate progress and risks proactively
  • Ability to translate complex findings into clear recommendations for non-technical audiences and leadership
  • Experience using AI tools such as Claude to support coding, analysis, automation, and analytical tool development, with careful validation of generated outputs
  • Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling

Benefits

Comp & perks
  • Temporary employees are eligible for paid holidays in accordance with dentsu policy
  • Safe and sick time