Data Product Analyst Quality and HSE
Hyderabad, India
Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Job title: Data Product Analyst Quality and HSE
- Location: Hyderabad
About Us
Opella, formerly the Consumer Healthcare business unit of Sanofi, , is the purest and third-largest player globally in the over-the-counter (OTC) & Vitamins, Minerals & Supplements (VMS) market.
We have an unshakable belief in the power of self-care and the role it can play in creating a healthier society and a healthier planet.
That’s why we want to make self-care as simple as it should be by being consumer-led always, with science at our core.
Through our unique and balanced portfolio of more than 100 loved brands, including 15 global and local high-growth challengers such as Allegra, Dulcolax, and Buscopan, we deliver our mission: helping more than half a billion consumers worldwide take their health in their hands.
This mission is brought to life by an 11,000-strong team, 13 best-in-class manufacturing sites, and 4 specialized science and innovation development centers.
We are also proud to be the first major fast-moving consumer healthcare company to achieve B Corp certification.
Join us on our mission. Health. In your hands.
Role Overview:
The Data Product Analyst, part of the global Digital Data & Analytics team, is responsible for enabling data-driven decision-making across the Quality and HSE domains. This role focuses on designing semantic layers in Snowflake, developing insights through Power BI dashboards (KPIs) and ad-hoc reporting, and ensuring the integrity and quality of data integration across multiple systems. The analyst will act as a key liaison between business functions, data engineers, and architects to bridge business insights with enterprise data solutions.
Key Responsibilities:
Stakeholder Engagement: Seamlessly collaborate with the Quality and HSE Business & Digital functional team to understand business processes, data sources, and reporting requirements.
Scope management and prioritization: Manage multiple scope items simultaneously, being able to accurately estimate efforts and set up priorities according to business value.
Semantic Layer Design: Design and implement semantic layers in Snowflake, integrating data from our multiple enterprise systems to support scalable analytics solutions.
Lead AI Use Cases: Lead the creation of AI use in the business domain involving required DA /DE / AI /ML teams.
Ad-Hoc Reporting: Develop ad-hoc reports in Snowflake / Power BI by consolidating data from multiple domain systems and third-party tools, ensuring accuracy and business relevance.
Dashboard Development: Build and maintain domain-specific dashboards using Power BI, focusing on KPIs and operational metrics that drive continuous improvement in quality and HSE processes.
Specifications & Documentation: Write clear functional and technical specifications for new datasets to be added to the data foundation, collaborating closely with data engineers and architects.
Testing & Validation: Conduct System Integration Testing (SIT) and support User Acceptance Testing (UAT) to validate data flows, transformations, and dashboard outputs for global solutions.
Data Governance: Support the deployment of data governance practices, ensuring data quality, lineage, and compliance within the M&S domain.
Required Skills & Qualifications:
Business understanding: Deep understanding of Quality and HSE business processes, including Deviation Management, Change Control, CAPA, and Audit Management for Quality; and Incident Management, Risk Assessment, Waste and Emissions Management, and Environmental Compliance Monitoring for HSE.
Functional KPI knowledge: Familiarity with key Quality and HSE KPIs.
Data Architecture and Data Modeling: Proven experience in designing data models following best practices. Understanding of ETL/ELT processes and orchestration tools
Technical expertise: Strong functional and technical knowledge of the following technologies:
SAP QM (Quality Management)
SAP HSE
Veeva vault
Veeva QMS
Understanding of SAP MM and SAP Material Master data is recommended
SAP Analytics / SAP BW in quality and HSE modules expertise is strongly recommended.
Power BI: Expert-level experience in developing interactive dashboards and reports in Power BI, with a deep understanding of DAX and data modeling.
Snowflake: Proficient in querying and working with Snowflake, especially for designing semantic layers and integrating diverse data sources.
Data Integration Collaboration: Demonstrated ability to work with data engineers and data architects to translate business requirements into scalable data pipelines and models.
Testing & Quality Assurance: Experience conducting system integration testing (SIT) and supporting UAT for data and analytics solutions.
Education: Bachelor’s or master’s degree in business, Engineering, Computer Science, Data Science, or a related field.
Experience: 10+ years in data and analytics for Quality and HSE roles.
Soft and Behavioral Skills:
Team Collaboration: Proven ability to work with multiple teams to drive alignment and results.
Cultural Sensitivity: Experience working with multicultural, global teams.
Service-Oriented: Flexible, positive team player with a strong service orientation.
Communication: Excellent written and verbal communication skills.
Initiative: Self-motivated, proactive, and takes initiative.
Problem Solving: Strong problem-solving and critical thinking skills.
Why us?
At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.
We Are Challengers.
We are dedicated to making self-care as simple as it should be. That starts with our culture. We are challengers by nature, and this is how we do things:
All In Together: We keep each other honest and have each other's backs.
Courageous: We break boundaries and take thoughtful risks with creativity.
Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity.
Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.
Join us on our mission. Health. In your hands.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data governance Data pipelines Data quality ELT Engineering ETL KPIs Machine Learning Pipelines Power BI Snowflake Testing
Perks/benefits: Flex hours Startup environment
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