Job Summary
Are you a strategic thinker with deep expertise in data architecture and analytics? Join us as a Senior Specialist, Data Analytics and lead the transformation of our global data ecosystem.
IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, we deliver sustainable innovations that elevate everyday products.
Global Business Services: Delivering streamlined, scalable support—enhancing efficiency, compliance and service excellence across the company.
The role is based in Hyderabad, India(hybrid role). Be part of a solution oriented and advanced team where together we can achieve greatness and make a real impact. Your potential is our inspiration.
Where You’ll Make a Difference
- Design and implement enterprise‑scale data pipelines and advanced analytics dashboards.
- Develop and optimize data ingestion, transformation, and modelling workflows across structured and cloud‑based systems.
- Build and implement best‑practice solutions using Microsoft Fabric, Snowflake, and Power BI to deliver scalable, secure,
and high‑performance data products.
- Collaborate with cross‑functional stakeholders to translate complex business and finance requirements—including OTC, STP, and RTR—into actionable data strategies.
- Develop robust, governed Power BI datasets and dashboards that enable self‑service analytics across the organization.
- Implement and maintain data governance, data quality, and compliance standards across analytics initiatives.
- Contribute to a culture of technical excellence by sharing expertise, promoting best practices, and supporting the growth of data engineering capabilities within the team.
What Makes You the Right Fit
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related field, with 5+ years of experience in data analytics.
- Expert‑level proficiency in SQL and relational database technologies.
- Robust hands‑on experience with Snowflake, Microsoft Fabric, and Pow
📌 Analyst - Data Analytics (Hyderabad)
🏢 IFF
📍 Hyderabad