Data Product Analyst Quality and HSE

Job title

• Location

  : Hyderabad

About Us

third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally

making self-care as simple as it should be

100 loved brands

As a globally certified B Corp company,

About the job:

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.

About you:

• 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.