
1001 - 5000 funcionários
Fundada em 2011
🏥 Saúde
📦 Logística
📣 Marketing
Healthcare • Logistics • Marketing
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
🕒 Fevereiro 5
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2011
🏥 Saúde
📦 Logística
📣 Marketing
Healthcare • Logistics • Marketing
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
• Work on the latest applications of data science to solve business problems in the Pharma and Lifescience domain • Work directly with client stakeholders to translate business problems into high-level analytics solution designs • Knowledge of advanced analytics approaches methodologies and best practices for leveraging data to drive informative decisions • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc • Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Pytong, Databricks, and deep knowledge of Qlik, PowerBI, and Tableau for visualization. • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo, etc. • Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues simply and to orchestrate plans to resolve issues & mitigate risks • Experience working with all levels of management and consulting with key business stakeholders. • Present analytic solutions to business audiences highlighting the robustness of the solution and how it could help generate business value • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
• 8 - 13 years of professional work experience with at least 7 years in data analytics • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy • Strong project management and team management skills and ability to work with global teams • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes • Graduate in Business Analytics or MBA or equivalent work experience
• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Candidatar-se🕒 Janeiro 12
Lead Product Manager at Netomi driving analytics and conversational BI product development. Collaborate with Data Science and Engineering for innovative enterprise customer experience solutions.
🗣️🇺🇸🇬🇧 Inglês obrigatório