Analytics Engineer - Data Solutions
Analytics Engineer - Data Solutions
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description
Analytics Engineer
We are seeking a talented motivated and selfdriven professional to join the HH Digital Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier Data First commercial biopharma organization.
As a Analytics Engineer you will be part of the HHDDA Commercial Data Solutions team providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role you will create and maintain data assets/domains used in the commercial/marketing analytics space to develop bestinclass data pipelines and products working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design planning testing deployment and delivery.
Your specific responsibilities will include:
Handson development of lastmile data products using the most uptodate technologies and software / data / DevOps engineering practices
Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
Develop deep domain expertise and business acumen to ensure that all specificalities 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
Develop analytical data products for reusability governance and compliance by design
Align with organization strategy and implement semantic layer for analytics data products
Support data stewards and other engineers in maintaining data catalogs data quality measures and governance frameworks
Education:
/ B.S. / M.S. or PhD in Engineering Computer Science Engineering Pharmaceuticals Healthcare Data Science Business or related field
Required experience:
5 years of relevant work experience in the pharmaceutical/life sciences industry with demonstrated handson experience in analyzing modeling and extracting insights from commercial/marketing analytics datasets (specifically realworld datasets)
High proficiency in SQL Python and AWS
Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer
Experience creating / adopting data models to meet requirements from Marketing Data Science Visualization stakeholders
Experience with including feature engineering
Experience with cloudbased (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks Snowflake Redshift etc.
Experience with modern data stack tools such as Matillion Starburst ThoughtSpot and lowcode tools (e.g. Dataiku)
Excellent interpersonal and communication skills with the ability to quickly establish productive working relationships with a variety of stakeholders
Experience in analytics use cases of pharmaceutical products and vaccines
Experience in market analytics and related use cases
Preferred experience:
Experience in analytics use cases focused on informing marketing strategies and commercial 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
Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
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 visualization technologies (e.g PowerBI)
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.
We are proud to be a company that embraces the value of bringing diverse talented and committed people fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively. We are an equal opportunity employer committed to fostering an inclusive and diverse workplace.
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no preexisting agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business Intelligence (BI) Data Management Data Modeling Data Visualization Measurement Analysis Stakeholder Relationship Management Waterfall ModelPreferred Skills:
Job Posting End Date:
04/15/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Employment Type
Full-Time
