Job Description

Summary -The primary responsiblity is to support the Strategy team in projects and operational tasks. The position holder ensures full transparency of ongoing projects progress and budget overview. -Support Senior Strategy Managers and Directors in projects around key Novartis products in major markets, that -Deliver substantially greater outcome improvement than from the product alone -Deliver substantially greater financial rewards for Novartis based on thisData AnalystLocation - Hyderabad #LI HybridAbout the Role:Data Analyst needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT. Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams.Key Responsibilities:Preliminary domain understanding in Commercial operations, Sales & Marketing. Experience in working in Pharma / Life Science industry is preferredCollaborate with business partners, data scientists and IT teams to create and implement world class data products and solutionsSupports 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 FAIRificationBrings good understanding of enterprise approved schema, tools and platforms and can demonstrate them to deliver high quality clean and linked data across projectsBrings good understanding of ETL, RDBMS, SQL and problem-solving skillsManage quality and consistency of NBS CONEXTS data services delivery to all stakeholdersDeliver on data strategy priorities in an AGILE manner with appropriate documentation and communication throughout the delivery of servicesEssential Requirements:Education (minimum/desirable): Bachelors/Masters in Computer Sciences / IT or other quantitative sciences. Experience / Skills: 2-4 years experience in a Global company as a data analyst, business analyst, data engineer, modeler, ETL developer or data stewardGood understanding of data management concepts such as DWH, RDBMS, ETL, BI architecture, Data operations/Stewardship, MDM and Data Quality controlsGood hands on expertise on Data Modeling, SQL or any other scripting languages like Python, Shell scripting, PySpark for data preparation and analysisAbility to handle large volume of data and skilled in data preparation, data profiling, data analysis and data validation activities is mustExperience on data migration projects, analysis of current vs desired data architecture would be highly preferredDesirable 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 - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales is preferred.Why Novartis: Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here:Youll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: .Skills Desired Building Construction, Business Development, Business Partners, Business Planning, Business Transformation, Compensations Management (Employees), Finance, Go-To-Market Strategy, Influencing Skills, Labor Law, Leadership, Lean Six Sigma, Management Consulting, Outsourcing, Pmi (Post-Merger Integration), Project Delivery, Project Execution, Projects Coordination, Strategic Planning, Value Propositions

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