General Medicines
Wo Ideen und Wissenschaft die Gesundheit von morgen gestalten.

Job title: Analyst - Data & Process Management

• Location: Hyderabad/Mumbai

• % of travel expected: Travel required as per business need, if any

• Job type: Permanent and Full time
  

About the job

Our Team:

Sanofi Business Operations (SBO) 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​. SBO 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:

• Ensuring the accuracy, security, and accessibility of organizational data.

• Identify and resolve data inconsistencies, redundancies, and quality issues.

• Maintain requirements documents, business rules and metadata.

• Collaborate across departments to streamline data processes, implement governance frameworks, and provide insights that drive informed decision-making.

• 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 SBO 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.

• Collect, organize, and maintain datasets to ensure accuracy, completeness, and consistency.

• Monitor data pipelines, ETL processes, and ensure the smooth flow of data across systems.

• Develop and enforce data quality standards, governance policies, and best practices.

• Analyse data to identify trends, patterns, and insights that support decision-making.

• Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI).

• Provide ad hoc data analysis for various departments and stakeholders.

• Performance indicators: Adherence to timeline, quality targe

• 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
  - 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.
  -Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU.

• 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 also to prioritize work and deliver on time-sensitive requests.

• Be able to provide and defend gathered intelligence, methodology, content, and conclusions to the global leadership in a clear, concise format.
  

About you

• Experience:3+ years of experience in pharma data management, 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

• Technical skills: Bachelor’s degree in Life Sciences, Pharmacy, Data Science, Computer Science, or a related field. A master’s degree is preferred.
  - 3–5 years of hands-on experience in pharmaceutical data and data management, with a focus on syndicated data, Specialty Pharmacy, and digital/multi-channel data.
  - Strong technical expertise in tools and platforms such as AWS, Snowflake, Databricks, SQL, Python, and Informatica.
  - Solid knowledge of pharmaceutical sales and marketing data sources like IQVIA and Veeva.
  - Familiarity with pharmaceutical sales operations and the application of data within a pharmaceutical commercial operations context.
  - Ability to translate business requirements into detailed data solutions.
  - Familiarity with data governance and stewardship practices, ensuring data quality and compliance.
  - Experience with analytical tools such as Power BI, VBA, and Alteryx is a plus.
  -Ability to contribute to driving innovation and automation by leveraging advanced analytical and statistical techniques.

• 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 in English and strong communication skills – written and spoken

Why chose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Play an instrumental part in creating best practice within our Go-to-Market Capabilities.
  

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN videoand check out our Diversity Equity and Inclusion actions at sanofi.com!

Strebe nach Fortschritt. Entdecke Einzigartiges.

Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.

Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.