Director of Analytics Development

7 days ago

Mumbai, Maharashtra, India Pfizer Full time

ROLE SUMMARY

The Analytics Engineering team in the Global Commercial Analytics & AI organization serves as the backbone of our data-driven commercial organization, delivering the foundation upon which transformative insights and innovation thrive. With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing analytics data infrastructure and crafting impactful visualizations, we're not just enabling analytics – we're powering world-class solutions that propel Pfizer's mission forward.

The team's charter includes supporting Data Science and Insight & Strategy partner organizations across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products and visualization tooling to enable the International Commercial business.

We are seeking a Director of Analytics Development to lead our International Commercial Analytics Development team. Reporting to the Sr Director of Analytics Development, you will be a hands-on Analytics leader who will lead a team of experienced analytics developers to play a crucial role in leveraging data to drive strategic decision making and optimize commercial business performance.

Responsibilities

  1. Lead a top-tier Analytics development team in a cluster of international markets assigned to you. You will drive the hiring, execution, and business support processes, and mentor/develop the analytics developers that work on your team.
  2. As a hands-on lead of the team, design and deliver strategic Analytics projects sourcing and curating data from the relevant data sources and using existing engineering best practices to meet the needs of a highly dynamic and data-driven commercial business.
  3. Design and implement end-to-end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation, database modeling, visualization, and deployment.
  4. Be a strategic partner to frame, investigate, and answer key business questions related to organization-wide performance analytics and interactions with senior commercial leaders, ELT members, and international group presidents.
  5. Deliver intuitive and insightful data visualization to communicate key brand performance to stakeholders and implement real-time decision support tools that provide field representatives with insights and recommendations during interactions with physicians.
  6. Lead investigation and resolution of potential Data quality issues. Recommend and implement permanent solutions to mitigate data quality issues.
  7. Discover and understand complex data sets, identify, and formulate correlational rules between heterogeneous data sources for effective analytics and reporting.
  8. Partner with US Analytics platform team to ensure compliance with best practices to ensure quality, accuracy, and efficiency of data curation pipelines and gain alignment on using the relevant foundational data assets to power operational analytics.
  9. Collaborate with our Data science, performance insights, and brand-facing Insights & Strategy teams to build analytics solutions for specialized Global markets and commercial business units.
  10. Partner with enterprise Digital Engineering team to identify and source data from centralized data warehouses.
  11. Actively contribute to Analytics team and project documentation and playbooks. Serve as a SME in analytics development, providing guidance, training, and mentorship to junior team members and fostering a culture of learning and innovation.

Qualifications

  1. Bachelor's degree in a technical area such as computer science, engineering, IT, or related Health Sciences field.
  2. 10+ years of relevant experience in data analytics, data engineering, business intelligence, and 4+ years of management experience.
  3. Deep hands-on expertise in Data Architecture, Data Modeling, and Datawarehouse Fundamentals.
  4. Extensive hands-on experience in SQL, data manipulation, and Business Intelligence tooling and ETL pipeline development.
  5. Strong Domain knowledge in the Life Sciences and Healthcare industry with Commercial/marketing experience desired.
  6. Experience working in the Healthcare Life Sciences (pharma preferred) and/or commercial/marketing experience industry experience desired.
  7. Programming experience in Python, Java, or other programming languages preferred.
  8. Experience with data privacy standards, pharma industry practices/GDPR compliance.
  9. Experience in building Analytics solutions that enable HCP engagement and Field force optimization preferred.
  10. Strong knowledge and experience in driving Data quality and Governance best practices.
  11. Solid knowledge in master data management, rules-based data engines, and tools for multi-stage data correlation across large data sets.
  12. Experience in building data visualization tools and requirements.
  13. Extensive experience working in agile settings or bringing agile best-practice mentorship to the team.
  14. Demonstrated experience in hiring and developing high-performing teams to meet the needs of a highly dynamic and complex business.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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