dentsu Austria

VP, Analytics – Health

dentsu Austria

full-time

Posted on:

Location Type: Remote

Location: Remote • Illinois, Texas • 🇺🇸 United States

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Salary

💰 $136,000 - $219,650 per year

Job Level

Lead

Tech Stack

PythonSQL

About the role

  • 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

Applicant Tracking System Keywords

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

Hard skills
data analyticsdata sciencestatisticscustomer analyticsadvanced measurementattributionmachine learningAISQLPython
Soft skills
leadershipmentoringstrategic thinkingpresentation skillsteam developmentcommunicationinnovationcollaborationproblem-solvinglearning mindset
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