ROLE SUMMARY

The Analytics Engineering team in the Global Commercial Analytics & AI (CAAI) 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. Join us in shaping the future of advanced analytics and make a meaningful impact on a global scale.

We are looking for an experienced Senior Analytics Developer for our International Commercial Analytics Enablement team, who will report to the Director of Analytics Development in an agile Analytics team. As a Sr Analytics developer, you will play a crucial role in leveraging data to drive strategic decision making and optimize commercial business performance. You will be responsible for designing, developing, and maintaining robust analytics solutions that provide actionable insights to various stakeholders in the commercial organization, contributing directly to Pfizer's global mission of improving Patient lives.

• Implement end to end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation, database modeling, visualization and deployment.
• Design and deliver strategic Analytics projects sourcing and integrating data from the relevant data sources to meet the needs of a highly dynamic and data driven commercial business.
• Build or enable intuitive and insightful dashboards, reports and 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.
• Dive deep to investigate and resolve potential Data quality issues Recommend and implement permanent solutions to mitigate data quality issues.

• Partner with other domain leaders to infuse operational insights into the decision-making process for clinical, operational, financial, growth, and other focus areas.
• 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.
• 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.
• Partner with enterprise Digital Engineering team to identify and source data from centralized data warehouses.
• 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.

• Bachelor's degree in a technical area such as Computer Science, Engineering, IT, or related Health Sciences field.
• 7+ years of combined Analytics Data engineering, Data analysis, business intelligence or analytics development experience.

• Recent Healthcare Life Sciences (pharma preferred) and/or commercial/marketing experience industry experience is highly preferred.
• Strong Domain knowledge in the Life Sciences and Healthcare industry preferred.
• Experience in building Analytics solutions that enable HCP engagement and Field force optimization preferred.
• Strong knowledge of data quality and Governance best practices.
• Ramp up quickly in understanding data sources required for data products and the goals of Commercial Analytics in a Pharma business.

• Extensive experience in SQL, data manipulation and Business Intelligence tooling and pipeline development.
• Extensive hands-on experience with RDBMS/DWs and writing ETL pipelines. Experience with Snowflake and/or Airflow is desirable but not necessary.
• Programming ability in Python, Java or other object-oriented programming languages preferred.
• Solid understanding of Agile, SDCL, CI/CD, is preferred.
• Strong knowledge in master data management, rules-based data engines, and tools for multi-stage data correlation across large data sets.
• Experience in building data visualization tools and requirements.
• Extensive experience working in agile setting or bring agile best-practice mentorship to the team.
• Familiarity with data privacy standards, pharma industry practices/GDPR compliance is required.
• Prioritizes excellence in Analytics engineering by following F.A.I.R. principles and adhering to engineering and documentation standards set for by the organization.

• Regularly engage with other Analytics engineers and developers in the Commercial Analytics team.
• Engage with Directors and other Sr Leaders in the Commercial Analytics Engineering Organization.
• Collaborate with Commercial Data Science team leaders to understand requirements for projects.
• Work with Project Managers, BAs, Scrum Masters, and BI/Reporting team members.
• Regularly engage with our external partners on engineering projects.