dentsu Austria

Compensation

Full Description

Job Description: • Set vision for Health Analytics team, ensure offerings are innovative and address challenges impacting Health industry and exploit emerging technology trends and partnership opportunities. • Partner with Client Success, Growth teams and Capability Leaders to craft integrated solutions in support of client's business objectives. • Ensure delivery excellence for Health client portfolio. • Lead teams in defining and delivering measurement roadmaps, data visualizations media mix optimization, multi-touch attribution, digital/TV attribution, customer segmentation/modeling and AI/genAI applications. • Lead recruiting, staffing, training and career development planning. Cultivate learning mindset to ensure team stay up to date with industry trends and future-proof. Requirements: • 12+ years of relevant Analytics experience • 5+ years in the Health space (Pharma, HCP, Patient, Payor, Provider, Life Sciences, Retail Health, Medical Device) • Bachelor's degree in data analytics, data science, statistics or other quantitative disciplines • Master's degree in data analytics, data science, statistics or other quantitative disciplines (preferred) • Senior-most contact for analytics at client-side or marketing/advertising agencies; experience managing analytics teams and delivering for a portfolio of clients, expertise in presenting to clients • Experience mentoring a staff from entry-level to senior roles • Experience delivering clear, strategic presentations to C-level clients and agency executives • Experience guiding strategic thinking and leadership for data analytics, insights and innovation and evolving clients' measurement capabilities across various stages of data and business maturity • Familiarity with statistical concepts, machine learning and AI / Gen AI, with hands-on expertise in two or more areas: Customer Analytics, Advanced Measurement and Attribution, ML Driven Personalization, Market Research, Media Analytics, Reporting & BI • Working knowledge of relational databases, machine learning/AI techniques and programming languages (e.g., SQL, R, and Python) and clean room solutions and technologies • Experience with data sourcing, evaluation, onboarding and integration • Awareness of privacy and security considerations, specifically HIPPA compliance requirements - ensuring that data handling meets legal and ethical standards to protect the agency and customers and their data • Understanding of Ad/MarTech landscape across all digital and non-digital channels and their advantages/limitations. Benefits: • Medical, vision, and dental insurance • Life insurance • Short-term and long-term disability insurance • 401k • Flexible paid time off • At least 15 paid holidays per year • Paid sick and safe leave • Paid parental leave