WNS

Data Stewardship - Pharma and LifeSciences

Gurgaon, HR, India · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerWNS
  • LocationGurgaon, HR, 122002, India
  • Work styleOn-site
  • Employment typeFull-time
  • Employer posted

Role Overview:

Is responsible for managing, maintaining, and ensuring the quality, accuracy, and security of data across the organization. They collaborate with multiple teams, including Trade, Finance, commercial, BTS (Business Technology Solutions) and international to support decision-making and ensure data accuracy and quality. They also play a key role in utilizing data visualization tools like Power BI and customer relationship management (CRM) platforms like Veeva to enhance business operations.

Key Responsibilities:

  1. Data Governance and Quality Management:
  • Establish and enforce data governance policies to ensure data quality and integrity.
  • Identify and resolve data quality issues like inconsistencies, duplicates, or missing information.
  • Define and implement data validation and cleansing processes.
  • Support HCO harmonization project
Show full description
  • Data Management and Maintenance:
  • Maintain master data records on accounts & customers level
  • Ensure data consistency across various platforms, systems, and databases.
  • Manage data changes and updates while ensuring traceability and accuracy.
  • Oversee the integration of data from CRM systems such as Veeva into master databases.
  • Power BI Dashboard Creation and Data Visualization:
  • Design and create interactive Power BI dashboards for various departments to visualize business-critical data.
  • Provide insights through data visualization, enabling stakeholders to make data-driven decisions.
  • Ensure that Power BI reports and dashboards are aligned with business objectives and are updated regularly with the latest data.
  • Working with CRM Platforms (Veeva):
  • Manage data extraction, integration, and analysis from CRM systems like Veeva for customer management, sales tracking, and marketing activities.
  • Support sales and marketing teams by providing CRM-based data reports and insights.
  • Ensure accurate and timely updates of customer and sales data within the CRM system and troubleshoot any CRM data-related issues.
  • Data Reporting and Analytics Support:
  • Support the creation of reports and dashboards by providing high-quality, well-maintained data.
  • Collaborate with business analysts, sales teams, and data scientists to ensure data is suitable for analysis and reporting in Power BI and CRM platforms like Veeva.

Skills and Qualifications:

  • Educational Background: A degree in data management, IT, bioinformatics, or a related field. Experience in the pharmaceutical industry is a plus.
  • CRM Experience: Hands-on experience working with CRM platforms such as Veeva to manage customer data and track sales.
  • Microsoft Excel: Advanced user with ability to use formulas, functions, pivot tables, transforming data.
  • Reltio MDM: Experience using Reltio for master data management
  • Analytical Skills: Ability to analyze data sets, identify issues, and implement corrective measures.
  • Attention to Detail: Ensuring accuracy and completeness in managing and overseeing large volumes of data.
  • Technical Skills: Experience with data management systems (e.g., SAP, Oracle), SQL, CRM systems like Veeva, and other database tools.
  • Project Management: Ability to manage data-related projects, ensuring timelines and quality standards are met.
  • Communication: Excellent communication skills to liaise with cross-functional teams and stakeholders.
  • Power BI Proficiency: Experience in using dashboards and data visualizations using Power BI (desirable

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At a glance

  • Work styleOn-site
  • Employment typeFull-time
  • SeniorityMid level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Excel Power BI

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