Data Analytics Manager
Actively Reviewing the ApplicationsIFF
On-site
Posted 7 hours ago
•
Apply by June 13, 2026
Job Description
Job Summary
Are you a strategic thinker with deep expertise in data architecture and analytics? Join us as a Manager, 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.
This role is based in Hyderabad, India. Join a visionary, technically driven team where your leadership will shape the future of data analytics. Your expertise will help build the data foundations that drive smarter decisions and unlock business value across functions.
Where You’ll Make a Difference
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more
Are you a strategic thinker with deep expertise in data architecture and analytics? Join us as a Manager, 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.
This role is based in Hyderabad, India. Join a visionary, technically driven team where your leadership will shape the future of data analytics. Your expertise will help build the data foundations that drive smarter decisions and unlock business value across functions.
Where You’ll Make a Difference
- Lead the design and implementation of enterprise-scale data pipelines and analytics platforms.
- Oversee data ingestion, transformation, and modelling across structured and graph-based systems.
- Champion the use of Microsoft Fabric, Snowflake, and Neo4j to enable scalable, secure, and performant data solutions.
- Collaborate with cross-functional stakeholders to translate business needs into actionable data strategies.
- Drive adoption of Power BI dashboards and self-service analytics across business units.
- Ensure data governance, quality, and compliance standards are met across all analytics initiatives.
- Mentor and develop a team of data engineers and analysts, fostering a culture of innovation and excellence.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related field with minimum of 8+ years in data analytics(3+ years in a leadership or managerial role)
- Expert-level proficiency in SQL and relational databases.
- Strong experience with Microsoft Fabric, Power BI, Snowflake, and Neo4j.
- Proven track record in building and scaling data pipelines and cloud-based analytics platforms.
- Deep understanding of data modelling, orchestration, and governance.
- Excellent communication and stakeholder management skills.
- Ability to lead cross-functional teams in a fast-paced, global environment.
- Experience with data orchestration tools like Snowflake.
- Proficiency in Python & Microsoft Fabric for advanced data manipulation and automation.
- Familiarity with agile development, CI/CD pipelines, and version control (e.g., Git).
- A strategic mindset, curiosity for emerging technologies, and a passion for unlocking business value through data.
- Hybrid model(3 days/week).
- Two-way transportation.
- Learning and development programs.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more
Required Skills
Communication
Engineering
Leadership
Git
Agile
Automation
Compliance
Python
SQL
Stakeholder Management
Snowflake
CI/CD Pipelines
Power BI
Data Governance
Neo4j
Data Analytics
Data Engineering
CI/CD
Agile development
Statistics
Analytics
Transportation
Governance
Orchestration
Version control
Microsoft Fabric
Data modelling
Data ingestion
Data manipulation
Graph
Relational
Ingestion
Data pipelines
Dashboards
Manipulation
Relational databases
Data Orchestration
Computer Science
Analytics Platforms
Emerging technologies
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