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MSD Pharmaceuticals

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4.1

based on 260 Reviews

Video summary

99 MSD Pharmaceuticals Jobs

Lead Analytics Engineer

MSD Pharmaceuticals Private Limited

4.1

based on 260 Reviews

8-13 years

Hyderabad / Secunderabad, Pune

1 vacancy

Lead Analytics Engineer

MSD Pharmaceuticals

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Python SQL Healthcare Clinical Data Management Analytical Chemistry

+ 3 more

Job Description

We are seeking a talented, motivated and self-driven 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 Lead 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 best-in-class 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, execution, testing, deployment and delivery.

Your specific responsibilities will include:

Design and implementation of last-mile data products using the most up-to-date 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.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field

Required experience:

8+ 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)
High proficiency in SQL, Python and AWS
Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders
Experience with including feature engineering
Experience with cloud-based (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 low-code tools (eg 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 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
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)

Required Skills:

Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model

Employment Type: Full Time, Permanent

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