Analyst Data Process Management

Overview

Support the US-based data management team in ensuring data availability, quality and completeness for commercial pharmaceutical analytics, collaborating with global stakeholders to deliver data requirements on time.

What you'll do

• Ensure on-time and accurate delivery of data requirements by collaborating with relevant stakeholders.
• Ensure data availability, data quality and data completeness are maintained as per requirements and delivered in a timely manner.
• Ensure data consistency across sources and downstream teams.
• Proactively identify data requirements and gaps in systems.
• Develop SOPs for data management processes and lead process enhancements.
• Provide training to end users on the usage of data across sources.
• Build advanced tools and automate or improve processes for analytical and other needs.
• Maintain effective relationships with end stakeholders within the allocated GBU and tasks, developing education and communication content as required.
• Actively lead and develop SBO operations associates and ensure new technologies are leveraged.
• Initiate the contracting process and related documents within defined timelines.
• Collaborate with global stakeholders for project planning, setting timelines and maintaining budget.
• Ensure data supplied by CDM is used effectively by stakeholders in commercial operations processes (forecasting, targeting, call planning, alignments, field reporting, incentive compensation and market mix).
• Administer CDM activities related to the quarterly operations cycle.
• Monitor data quality reports and investigate problems.
• Maintain requirements documents, business rules and metadata.
• Provide first-level support for sales, claims, MDM and omnichannel data inquiries.
• Provide ad-hoc support to the US CDM team.
• Develop data management analytics and reporting capabilities.
• Collaborate with Digital to enhance data access across sources and develop tools, technology and processes to improve quality and productivity.
• Support key data management activities such as developing a data quality framework, data cataloguing and data profiling.
• Contribute to overall quality enhancement by ensuring high standards for output produced by the digital and data management team.
• Secure adherence to compliance procedures and internal/operational risk controls in accordance with applicable standards.
• Refresh reports on a weekly, monthly, quarterly or annual cycle, with QC checks for each refresh.
• Manage opt-out compliance for the universe of healthcare professionals.
• Work closely with global teams and external vendors to ensure end-to-end effective project delivery with complete data availability.

What you'll need

• Bachelor's degree from an accredited four-year college or university.
• 3+ years of experience in pharmaceutical commercial datasets such as IQVIA, APLD, LAAD, MMIT, customer engagement and execution data.
• At least 3+ years of direct experience with pharmaceutical sales data and data management, with emphasis on IQVIA syndicated datasets, specialty pharmacy and claims datasets.
• Strong technical background in SQL, Python, Excel, PowerBI, Informatica and AWS.
• Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.).
• Knowledge of and/or experience in pharmaceutical sales operations; understands how data is applied in commercial operations.
• Ability to translate business needs into data requirements.
• Understands basic principles of data and incident management and data processing.
• Understands basic principles of data governance and data stewardship (data quality).
• Strong communication skills, including the ability to communicate data management subject matter to non-technical internal customers.
• Proficient in Excel, Word and PowerPoint.
• Aptitude for problem solving and strategic thinking, ensuring high-quality data output with strong quality assurance.
• Ability to synthesize complex information into clear and actionable insights.
• Proven ability to work effectively across all levels of stakeholders and diverse functions.
• Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions.
• Demonstrated leadership and management in driving innovation and automation using advanced statistical and analytical techniques.
• Ability to collaborate effectively across differing levels of management, functions and roles.
• Strong decision-making skills, identifying key issues, developing solutions and gaining commitment.
• Strong learning agility; ability to manage ambiguous environments and adapt to changing business needs.
• Good interpersonal and communication skills; strong presentation skills.
• Team player who is curious, dynamic, results oriented and collaborative.
• Ability to think strategically in an ambiguous environment.
• Ability to operate effectively in an international matrix environment across time zones.
• Excellent knowledge of English, with strong written and spoken communication skills.
• Advanced degree in areas such as Management, Statistics, Decision Sciences, Engineering, Life Sciences, Business Analytics or related field (e.g., PhD, MBA, Masters).

Nice to have

• Experience of using AI tools to drive accelerated data governance outcomes.
• Experience of using analytical tools such as Power BI, VBA and Alteryx.
• Experience working with analytics teams on field reporting, field deployment and incentive compensation.
• Experience working on vaccines and claims data.

Details

• Location: Hyderabad.
• Travel required as per business need, if any.
• Job type: Permanent and full time.