Director, Analytics Engineering

Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis and high-quality data to support decision making in clinical trials.

We are seeking a talented, motivated and self-driven professional to join our Company’s Human Health Insights, Analytics and Data (HHIAD) organization and play an active role in Our Company's Human Health transformation journey to become the premier “Data First” commercial biopharma organization.

As a Analytics Engineering Lead, you will be part of the HHIAD Commercial Data Solutions team, providing technical/data expertise and leadership to drive the development of analytical data products to enable data science & analytics use cases. In this role, you will leverage deep knowledge of data assets/domains used in the commercial/marketing analytics space – with focus on real-world data (e.g. EMR, claims) – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities and lead engineers throughout all phases of design, planning, execution, testing, deployment and delivery.

Your specific responsibilities will include:

Lead design and implementation of last-mile data products using the most up-to-date technologies and software/data/DevOps engineering practices, aligned with enterprise strategies and architecture
Lead teams of data product/analytics engineers, driving work planning and coordinate/oversee execution for prioritized use cases
Partner with data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
Apply deep data domain expertise and business acumen to ensure that all specificities and pitfalls of data sources are accounted for
Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models
Manage copies/movement of data optimally, leveraging data mesh principles, architecture and modern toolset stack
Apply strategic thinking in developing analytical data products with reusability, governance and compliance by design
Drive the strategy and implementation efforts to build a business-relevant semantic layer for analytics data products
Provide thought leadership for data stewards and analytics engineers in maintaining data catalogs, defining data quality measures and governance frameworks

Education:

B.S., M.S. or PhD in Engineering, Computer Science, Data Science, Business, or related field

Required experience:

Minimum 10 years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets, eg. Claims, EMR, labs, etc)
Strong knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
High proficiency in SQL, Python and AWS
Strong experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders
Experience with data science/machine learning use cases and solutions, including feature engineering
Experience with cloud-based (AWS) data management platforms and typical storage/compute services (Snowflake, Redshift, etc.)
Experience with modern data stack tools such as dbt, Starburst, ThoughtSpot, Databricks and low-code tools (e.g. Dataiku)
Experience with data visualization technologies (e.g, PowerBI)
Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
Leadership skills, with demonstrated ability to provide subject-matter expertise, set direction and lead//motivate teams

Preferred experience:

Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines
Experience with Agile ways of working, leading or working as part of scrum teams
Certifications in AWS and/or modern data technologies

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Who we are…

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for…

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.

Expected salary range: $173,900.00 - $295,700.00

‌