Sanofi Data Management Analyst Job For MSc & PhD Life Sciences – Apply Online
Sanofi Data Management Analyst Job For MSc & PhD Life Sciences – Apply Online> Check out the latest Senior Analyst at Sanofi. Interested and eligible candidates view all the details given the same below.
Job role: Senior Analyst – Data Management
Job Location: Hyderabad
Our Team:
Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally.
Main responsibilities:
The overall purpose and main responsibilities are listed below:
- At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats.
- 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.
- Forecasting and analytics deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial.
- 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 endeavour, we are seeking a dynamic talent for the role of “Senior Analyst – Data Management” with experience in transparency reporting & monitoring
- It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across different functions.
People:
- Maintain effective relationship with the stakeholders (Country & Cross border Teams) within or cross GBUs and tasks – with an end objective to develop educational 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:
- Coordinate the process and consolidation of the inputs provided from various stakeholders
- Refresh the current data structure and improve, as per the functional requirement,with the latest insights as they become available
- Support France Bertrand Disclosure
- Control and ensure the quality and integrity of data collected: execute regular monitoring schedules of data controls
- Continue to improve and update data quality review and controls: create queries, establish controls, alerts, and audit criteria
- Collaborate with the Transparency Governance Officer and Transparency Business Partner team to ensure data collection and errors correction
- Coordinate with the global team to organising external meetings and activities
- Support global team to maintain trackers and facilitate retrieval of required information for business reviews as needed
Process:
- Ensure the good functioning of Transparency applications: establish auditing and monitoring schedule for Transparency tools, ensure data loading procedures and execution of programmed connectors are respected
- Lead and collaborate with relevant teams to correct system crashes and technical issues
- Support application changes: follow and manage fixes/enhancements of application, test and validate deliveries
- Identify and interpret business needs, analyse, and prioritize the requirements, write functional specifications, design, and execute UAT scripts cases, analyse data, identify gaps, and provide business requirements and expectations feedback
- Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the business teams
- Contribute to overall quality enhancement by ensuring high standards for the output produced by the stakeholders; and secure adherence to compliance procedures and internal/operational risk controls by all applicable standards
- Support the Transparency Reporting & Monitoring process for any new or existing project implementation and new features releases activities, like, organizing meetings, providing meeting minutes, draft user acceptance test scripts on a cycle/frequency basis
- Ensure adherence to relevant regulatory requirements and internal policies. Identify and mitigate potential risks associated with tender data management and provide recommendations for process improvements
Stakeholder:
- Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated deliverables
About you and Qualifications we seek in you for Senior Analyst at Sanofi..!
- Experience for Senior Analyst at Sanofi : 5+ years of experience in pharmaceutical product commercial forecasting and analytics. In-depth knowledge of common databases like IQVIA, APLD, Engagement and execution data.
- 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 .
Technical skills:
- Expert knowledge of Microsoft Excel/Access/Power BI/VBA/SQL
- Expert knowledge of Microsoft Suites – Word PowerPoint and SharePoint
- Experience of developing and managing dashboards
- Experience with pharmaceutical data business & transparency reporting
- Experience of using analytical tools like Power BI, Qlik sense, Tableau, Smartsheet, and Alteryx etc.
- Project management abilities; capable of prioritizing and handling multiple projects simultaneously
- Experience with data management / data governance
- Autonomous, proactive, and strong interpersonal skills
- An aptitude for problem solving and strategic thinking
- 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.
- Education: Advanced degree in areas such as Management/Statistics/Decision Life Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters)
- Languages: Excellent knowledge in English and strong communication skills – written and spoken
Possible interview questions may be asked for Senior Analyst at Sanofi
1. Can you describe your experience with data management and governance in the pharmaceutical industry? Answer: Certainly. In my role as a Senior Analyst at [Current/Previous Company], I’ve been responsible for overseeing data management and governance initiatives in the pharmaceutical sector. I’ve worked extensively with various databases such as IQVIA, APLD, and Engagement data to ensure data accuracy, consistency, and compliance with industry regulations. I’ve developed and implemented data quality standards, collaborated with cross-functional teams to define data ownership and responsibilities, and established protocols for data access and security.
2. Can you provide an example of a project where you improved data quality and integrity within your organization? Answer: Absolutely. In a recent project, I identified inconsistencies in our pharmaceutical sales data across different databases. By working closely with IT and business stakeholders, I led an effort to cleanse and standardize the data. I employed tools like SQL and Alteryx to perform data profiling, identify anomalies, and resolve discrepancies. Through this initiative, we achieved a 25% improvement in data accuracy, which led to more reliable insights for decision-making.
3. How have you ensured compliance with data transparency and reporting regulations in the pharmaceutical sector? Answer: Compliance with data transparency regulations is paramount in the pharmaceutical industry. In my role, I’ve been responsible for collecting and reporting data in accordance with regulations such as the Sunshine Act. I’ve collaborated with legal and compliance teams to ensure accurate and timely submissions. For instance, I utilized tools like Smartsheet to track reporting deadlines and developed automated processes to streamline data extraction and validation for reporting purposes.
4. Data management often involves collaborating with cross-functional teams. How do you effectively communicate with stakeholders from different departments? Answer: Collaboration with cross-functional teams requires clear and consistent communication. I’ve established regular meetings to align on data-related objectives and priorities. To ensure effective communication, I’ve used tools like Microsoft Teams and SharePoint to share documentation, updates, and insights. Additionally, I’ve created user-friendly dashboards using Power BI to present data trends and performance metrics, facilitating discussions with stakeholders who may not have a technical background.
5. Can you describe a situation where you had to handle a significant volume of data and ensure its accuracy? Answer: Certainly. In a merger between two pharmaceutical companies, I was responsible for integrating and reconciling a large volume of data from different legacy systems. To manage this task, I developed a comprehensive data mapping strategy, which involved understanding the source data, defining transformation rules, and verifying the accuracy of the migrated data. Through meticulous planning and validation processes, we successfully migrated over a million records while maintaining data integrity and minimizing disruptions.
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