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 Solid 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 video and check out our Diversity Equity and Inclusion actions at sanofi com null

📌 Analyst - Data & Process Management (Telangana)
🏢 Sanofi
📍 Telangana