Medical Analytics Data Engineer

ROLE SUMMARY

Develop data infrastructure for data scientists and ensure appropriate and efficient development of care gap and HCP prioritization models

ROLE RESPONSIBILITIES

Develop and maintain data infrastructure

• Design, develop, optimize, and maintain data architecture and pipelines (e.g., feeding medical data sources into data lake for ongoing projects)
• Partner with product manager and data lead to develop technical architectures for analytical models
• Identify data inputs needed to conduct analytics (e.g., claims data for unmet need analysis)
• Gather, prepares, and maintains datasets required to perform analytics
• Oversee data systems holding in close collaboration with data mgmt. lead and ensure accurate collection, storage, and processing of data within team
• Enhance data infrastructure for greater scalability and optimize data delivery (e.g., automating manual processes to retrieve medical data)

Support analytics development

• Solve complex data problems to deliver insights that helps the team produce the required analytics
• Create data products for analytics and data scientist team members to improve their productivity and facilitate team collaboration

Ensure adherence to data practices and standards

• Advise, consult, mentor and coach other data and analytic colleagues on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering process in order to improve team productivity

BASIC QUALIFICATIONS

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

• Degree in Computer Sciences, Statistics, Clinical Informatics or similar
• Relevant certification &/or work experience in data engineering
• Experience (7+ years) in data engineering, notably in the healthcare sector
• Demonstrated effectiveness working in cross-functional business environment.
• Proven influencing skills
• Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders.
• Ability to partner cross culturally/regionally.
• Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media.
• In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations.

• Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools.

• Databricks, DSS Data Science Studio (Dataiku) experience
• Understanding of taxonomy structures and hierarchy
• Plan and implement methods including Tag Management Solutions like Tealium iQ(primarily), GTM,  Adobe Launch, Dynamic Tag Manager, Ensighten
• Understand and use multitude of tag managers and writing JavaScript code
• Marketing Performance analysis i.e. data aggregation (leveraging marketing & click-stream API’s, data cleaning & transformation)
• Understanding of digital analytics specially Clickstream Data, Adobe and/or Google Analytics, Drupal platforms
• Knowledge on Adobe Analytics, Google Analytics, /Omniture SiteCatalyst, Matomo/Piwik
• Tag Managers – Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag. tags and tag debugging tools like Charles Proxy
• Programming Languages - JavaScript, jQuery
• 1+ years in a client facing role for solutioning and / or evangelizing technology approaches.
• Markup Languages - HTML, CS

Preferred Qualifications:

• Optimization Platform – Adobe Target, Google Optimize, Optimizely
• Experienced building web apps and interactive visualizations that focus on data explanation and exploration. You have experience with front-end JavaScript and Node.js. You have experience working with visualization libraries, plus a component framework like React or Vue.
• Experience with Data Studio and Adobe Report Builder

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

• Travel as required, up to 40% of role

Other Job Details:

Additional Location Inf