Analyst - Data & Process Management

Job description:

The Specialist in Market Research and Competitive Intelligence will provide deliverables that support planning and decision-making across multiple functional areas, such as finance, manufacturing, product development, and commercial. This role ensures high-quality deliverables, drives synergies across franchises, fosters innovation, and creates scalable, shareable solutions.

Within our commercial Insights, Analytics, and Data organization, we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Deliverables support planning and decision making across multiple commercial areas such as Analytics, Campaign Ops and market mix.

In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of "Analyst - Data & Process Management".

We are looking for a team member to support our data management team based out of the US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines.

It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises.

Main responsibilities:

• 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 are delivered in a timely manner.
• Ensure data consistency across the 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 usage of data across sources.
• Build advanced tools and automate or improve processes for analytical and other needs.

People:

• Maintain effective relationships with end stakeholders within the allocated GBU and tasks, with an end objective to develop 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 up timelines, and maintaining budget.

Performance:

• Ensure data supplied by CDM is used effectively by stakeholders in commercial operations processes such as 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.
• Work to develop data management analytics and reporting capabilities.
• Collaborate with Digital to enhance data access across various sources and develop tools, technology, and processes to constantly improve quality and productivity.
• Support key data management activities such as developing the right data quality framework, data cataloging, and data profiling.

Process:

• Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team.
• Secure adherence to compliance procedures and internal or operational risk controls in accordance with all applicable standards.
• Refresh reports on a frequency or cycle basis (weekly, monthly, quarterly, annually), along with QC checks for each refresh.
• Manage opt-out compliance for the universe of healthcare professionals.

Stakeholder:

• Work closely with global teams and external vendors to ensure end-to-end effective project delivery with complete data availability.

About you:

Experience:

• 3+ years of experience in pharmaceutical commercial datasets like IQVIA, APLD, LAAD, MMIT, Customer Engagement and execution data, etc.
• 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.
• Experience working with Analytics teams like Field Reporting, Field Deployment, and Incentive Compensation is a plus.
• Experience working on Vaccines and claims data is a plus.

Soft skills:

• 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, result-oriented, and can work collaboratively.
• Ability to think strategically in an ambiguous environment.
• Ability to operate effectively in an international matrix environment, with ability to work across time zones.
• Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques.
• Strong decision-making skills, identifying key issues, developing solutions, and gaining commitment.

Technical skills:

• Bachelor's degree from an accredited four-year college or university.
• Strong technical background in SQL, Python, Excel, Power BI, Informatica, AWS, etc.
• Experience using AI tools to drive accelerated data governance outcomes is a plus.
• Strong knowledge of pharmaceutical sales and marketing data sources such as IQVIA and Veeva.
• Knowledge of and/or experience in pharmaceutical sales operations and understanding of how data is applied in a pharmaceutical commercial operations context.
• Ability to translate business needs into data requirements.
• Understanding of the basic principles of data and incident management and data processing.
• Understanding of the basic principles of data governance and data stewardship (data quality).
• Strong communication skills, including the ability to communicate data management subject matter to a non-technical or unfamiliar internal customer.
• Experience using analytical tools like Power BI, VBA, and Alteryx is a plus.
• Proficient in Excel, Word, and PowerPoint.
• An aptitude for problem solving and strategic thinking and 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.
• Effectively collaborate across differing levels of management, functions, and roles.

Education:

Advanced degree in areas such as Management, Statistics, Decision Sciences, Engineering, Life Sciences, Business Analytics, or related field (e.g., PhD, MBA, Masters).

Languages:

Excellent knowledge of English and strong written and spoken communication skills.