Data Analyst - Exception Handling
Hyderabad, TG, IN, 5000019
About the role
- The new European Union Deforestation Regulation (EUDR) ensures that seven commodity products, including cocoa and palm oil, are no longer sold in the EU if sourced from areas affected by deforestation or forest degradation practices.
- As a DDS Analyst, your primary responsibility will be to ensure Barry Callebaut's compliance with the EUDR by managing the Due Diligence Statement (DDS) reporting process.
- This means following up in a cockpit if all statements were requested and received ahead of reception or shipping. Exception handling and taking contact with power users in the different sites in scope (> 20 sites, mainly in Africa and Europe) to remediate the absence of this data will be key to your function.
Key responsibilities include
- Use the cockpit to check 100% compliance for all sites in scope, both on the inbound and outbound side
- Ensure timely creation and management of DDS, by the requirements of the EU Deforestation Regulation (EUDR).
- Collaborate with Sourcing teams in case of errors or exceptions during the DDS creation process.
- Collaborate with Customer Service teams in case customer requests or complaints are linked to their DDS.
- Connect to the power users in the sites to remediate missing information for DDS creation.
- Maintain accurate DDS process documentation and remediation actions.
- Ensure timely remediation of missing information for DDS creation
- Travel requirements: 10%
About you
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, or a related field.
- A Master's degree or relevant certification (e.g., Certified Data Analyst) is a plus.
- Up to 3 years of experience in a similar data analyst role
- Begin able to cope with a lot of escalations, connect well with overseas factories and functions
- Ability to operate in a multicultural environment
- Excellent language skills both written and oral in English
- Affinity to systems and underlying data flow management and governance
- Proficient in MS Office Suite
- Proficient in data visualization tools and software, such as Excel and Power BI
- Ability to work with large datasets and perform data cleansing and transformation
Job Segment:
Supply Chain, Supply, Engineer, Operations, Engineering