Data Steward

**Summary**:

- Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials.

**About the Role**:
**Position Title : Data Steward**:
**Location - Hyd |India| #LI Hybrid**:
**About the role**

In this role the new hire will get a chance to work directly with Commercial Excellence team members from country offices and expected to deliver quality with Incentive Calculations operations and related deliverables and lead some engagements. They will engage and identify shared priorities and meet customer’s needs through problem-solving techniques to improve patient outcomes.

This is an individual contributor role will work directly with commercial excellence teams in the countries and would report to a Team Leader/Group Leader

**Key Responsibilities**:

- Create and deliver below Field Excellence reporting and insights as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service
- 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 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 FAIRification.
- Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services.
- Crafts and maintains standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function.
- Develops and maintains knowledge repositories that collects qualitative and quantitative data of field excellence related trends across Novartis operating markets, etc
- Support team leaders in recruitment and on-boarding of new associates within the organization.
- Participate and chip in various knowledge sharing sessions that enables growth and improves quality deliverables across the function.
- Ensures outstanding communication with all partners including internal associates, and clients through regular updates with focus on accomplishments, important metrics, standard methodologies, staffing changes and key events.

**Essential Requirements**:

- Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multi-functional/cultural environment.
- Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process
- Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes
- Comply to all Novartis operating procedures as per legal / IT / HR requirements
- Ability to operate optimally in an international matrix environment.
- Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources.
- Establish and maintain positive relationships with key functional partners

**Desirable Requirements**:

- University/Advanced degree is required, Master’s degree or equivalent experience in fields such as business administration, finance, computer science or technical field is preferred
- Experience / Skills: 2-4 years’ 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

Why Novartis:
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

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