Job Location: Hyderฤbฤd
Major Accountabilities/Responsibilities
Your responsibilities include, but not limited to:
- Preliminary domain understanding in Commercial operations, Sales & Marketing. Experience in working in Pharma / Life Science industry is preferred
- Collaborate with business partners, data scientists and IT teams to create and implement world class data products and solutions
- Supports in business and data analysis exercises; act as a hands-on engineer in building data pipelines, carrying out data quality management and data stewardship activities and support IT in implementation of DWH, MDM and Data FAIRification
- Brings good understanding of enterprise approved schema, tools and platforms and can demonstrate them to deliver high quality clean and linked data across projects
- Brings good understanding of ETL, RDBMS, SQL and problem-solving skills
- Manage quality and consistency of NBS CONEXTS data services delivery to all stakeholders
- Deliver on data strategy priorities in an AGILE manner with appropriate documentation and communication throughout the delivery of services.
Commitment to Diversity & Inclusion:
Minimum requirements
Essential:
- Education (minimum/desirable): Bachelors/Masters in Computer Sciences / IT or other quantitative sciences. Experience / Skills: 2-4 yearsโ experience in a Global company as a data analyst, business analyst, data engineer, modeler, ETL developer or data steward
- Good understanding of data management concepts such as DWH, RDBMS, ETL, BI architecture, Data operations/Stewardship, MDM and Data Quality controls
- Good hands on expertise on Data Modeling, SQL or any other scripting languages like Python, Shell scripting, PySpark for data preparation and analysis
- Ability to handle large volume of data and skilled in data preparation, data profiling, data analysis and data validation activities is must
- Experience on data migration projects, analysis of current vs desired data architecture would be highly preferred
Desirable requirements:
- Hands on experience on MS office (specially MS Excel) is must. Good communication and presentation skills. Good to have consulting and stakeholder engagement experience.
- Foundational understanding of big data ecosystem and cloud technologies would be an advantage. Good to have basic business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas โ a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales is preferred.
Why Novartis?
769 million lives were touched by Novartis medicines in 2020, and while weโre proud of this, we know there is so much more we could do to help improve and extend peopleโs lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what’s possible, when we collaborate with courage to aggressively and ambitiously tackle the worldโs toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
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Early Talent
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