Job Description

Analyst Data Management

Main responsibilities:

The overall purpose and main responsibilities are listed below:

- Ensure data supplied by CDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation).

- Administer CDM activities related to the sales operations quarterly cycle.

- Monitor data quality reports and investigate problems.

- Maintain requirements documents, business rules and metadata.

- Provide first-level support for sales data inquiries.

- Provide ad-hoc support to CDM colleagues.

People:

- Maintain effective relationship with the end stakeholders within the allocated GBU and tasks - with an end objective to develop education and communication content as per requirement

- Actively lead and develop SGH operations associates and ensure new technologies are leveraged

- Initiate the contracting process and related documents within defined timelines; and

- Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget

Performance:

- Refresh Existing Reports and identifies improvement opportunities in reporting and BI tools and as needed structure / functionality with the latest insights as they become available

- Create dashboards to synthesize and visualize key information and enable business decisions

- Works to develop deal tracking analytics and reporting capabilities

- Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity

Process:

- Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the medical/ field writing group, including scientific documents and clinical/medical reports

- Contribute to overall quality enhancement by ensuring high scientific standards for the output produced by the medical/ field writing group; and

- Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards

- Refresh report on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh

- Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated publication/medical education deliverables.

About you:

Experience:

- 2+ years of experience in pharmaceutical product commercial omni channel datasets, data governance and data stewardship. In-depth knowledge of common databases like IQVIA, APLD, SFMC, Google analytics, Engagement and execution data, etc.

- Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; 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

- Understands the basic principles of data management and data processing.

- Understands the basic principles of data governance and date stewardship (data quality).

- Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer.

- Experience of using analytical tools like Power BI, VBA and Alteryx etc is a plus.

- Proficient of Excel/word/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

- Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques.

- Effectively collaborate across differing levels of management, functions and role

- Strong decision-making skills, identifying key issues, developing solutions and gaining commitment.

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

Soft skills:

- Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; 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 technical background in AWS, Snowflake, Data Bricks, SQL, Python, Informatica etc.

- Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc.)

- Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical\'s commercial operations context.

- Ability to translate business needs into data requirement.

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