Job Opportunity: Analytics Engineer at MSD

Job Description

Join the HH Digital, Data & Analytics (HHDDA) organization and be a key part of our Human Health transformation journey. We are on the lookout for a talented and motivated professional to fill the role of Analytics Engineer. This is your chance to contribute to a "Data First" commercial biopharma organization.

Role Overview

As an Analytics Engineer, you will be an integral part of the HHDDA Commercial Data Solutions team. Utilize your technical expertise and data skills to develop analytical data products that support data science and analytics use cases. Your work will involve creating and maintaining commercial and marketing analytics data assets, enabling the development of world-class data pipelines and products.

Key Responsibilities

• Hands-on development of last-mile data products with state-of-the-art technologies and software/data/DevOps engineering practices.
• Support data science and analytics teams by driving data modeling and feature engineering activities aligned with business questions.
• Develop deep domain expertise and business acumen to ensure accurate usage of data sources.
• Create automated data models for reusability, governance, and compliance, aligned with use case requirements.
• Advise data scientists, analysts, and visualization developers on data model usage.
• Implement semantic layers for analytics data products, supporting organizational strategy.
• Assist data stewards and engineers in maintaining data catalogs, data quality measures, and governance frameworks.

Education

• B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or a related field.

Required Experience

• 5+ years in the pharmaceutical/life sciences industry, with hands-on experience in analyzing, modeling, and extracting insights from commercial/marketing analytics datasets.
• High proficiency in SQL, Python, and AWS.
• Strong comprehension of Data Product Owner and Lead Analytics Engineer requirements.
• Experience creating/adopting data models for Marketing, Data Science, and Visualization stakeholders.
• Experience with feature engineering.
• Familiarity with cloud-based platforms like AWS, GCP, Azure, and tools such as Databricks, Snowflake, Redshift.
• Proficiency with modern data stack tools like Matillion, Starburst, ThoughtSpot, and low-code tools (e.g. Dataiku).
• Excellent interpersonal and communication skills for establishing productive relationships with stakeholders.
• Experience in analytics use cases for pharmaceutical products and vaccines.

Preferred Experience

• Understanding analytics use cases that inform marketing strategies and commercial execution of pharmaceutical products and vaccines.
• Experience with Agile methodologies and Scrum teams.
• Certifications in AWS and modern data technologies.
• Knowledge of commercial/marketing analytics data landscapes and key data sources/vendors.
• Experience building data models for data science and visualization/reporting products.
• Familiarity with data visualization technologies such as PowerBI.

About Us

Merck & Co., Inc., known as MSD globally, has been innovating for more than a century. Our mission is to deliver groundbreaking medicines and vaccines for some of the world's most challenging diseases. We are committed to advancing health solutions that improve the quality of life for people and animals worldwide.

What We Look For

We seek individuals who are driven by the mission to save and improve lives globally. If you are passionate, creative, and eager to make a difference, join our diverse team. Here, your talents will collaborate with others to bring hope to those battling challenging diseases.

Our Commitment to Diversity and Inclusion

We value diversity and are committed to creating an inclusive environment where diverse ideas thrive. We encourage respectful dialogue and collaborative problem-solving. Merck & Co., Inc. is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace.

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