Romania Job Openings
British American Tobacco
S2S Delivery Data Specialist, non-mgmt.
Bucharest
FULL TIME
August 28, 2024
To achieve the ambition, we have set for ourselves, we are looking for colleagues who are ready to live our ethos every day. Come be a part of this journey!
ROLE PROFILE
GRADE: G33
JOB TITLE: Procurement ESG Data Specialist
FUNCTION: GBS
CITY & COUNTRY: Bucharest, Romania
REPORTS TO: Procurement ESG Data Analyst
Context
- The role will be responsible for managing regular data upkeep & update for internal as well as external reporting needs pertaining to social (specifically labor audit, mineral conflict & modern slavery) , climate, deforestation & risk.
- The role will be responsible for data analysis and visual representation enabling data driven decisions for the entire Procurement ESG team.
- The role will be responsible for identifying improvements in information & data flow for complexity reduction, data quality increase & automation.
Principal Accountabilities:
- Climate: Regular data upkeep & update pertaining to supplier disclosures in CDP, supplier targets in SBTi, supplier emissions tracking & supplier maturity tracking to contribute to BAT Corporate commitment of 50% Emissions reduction by 2030 and net zero by 2050.
-
Social: Regular data upkeep & update pertaining to supplier social audit progress from Eco Vadis, RBA & Sedex databases to ensure 100% material and high risk indirects supplier labor audit by 2025. Data Analytics to enable:
- Timely escalations of suppliers with audit failures to ESG Procurement Team, Procurement Leadership Team & Supply Chain Due Diligence (SCDD) Committee.
- Reporting of Modern Slavery Statement resulting from audits and Supplier Code of Conduct (SCo C) compliance.
- Social: Regular data upkeep & update pertaining to RMI for conflict mineral assessments from all New Category suppliers with 3TG within their products.
- Deforestation: Regular data upkeep & update for tracking and monitoring of suppliers’ supply chain management of their Pulp and Paper Based SC to enable 100% deforestation risk free supply chain by 2025.
Skills, Knowledge, and Experience
EXPERIENCE
- At least 2 years of experience in data management, cleansing, mining & analytics including the usage of Excel, & Power BI to draw meaningful statistical inferences for key business decisions.
- Exposure to project management and work process improvement through usage of agile and lean methodologies (specific to ESG related data processing is a plus)
- Exposure to collaboration with diverse teams across different end markets, job functions & management hierarchy.
SKILLS
- Continuous Improvement mindset demonstrated through continued personal upskilling and contributing to procedural efficiencies in work processes.
- Ability to learn at a fast paced in an ever evolving reporting and regulatory landscape.
- Strong analytical mindset enabling data driven decisions
- Interest in Sustainable Supply Chains, Procurement and Analytics for sustainable operations.
EDUCATION
- Bachelor’s degree in computer science / engineering / data sciences is desirable.
- Data Analytics certification from reputable sources like Google, Udemy etc is desirable.
- Certification in statistics is desirable.
At BAT we are committed to our Purpose of creating A Better Tomorrow. This is what drives our people and our passion for innovation. See what is possible for you at BAT.
- Global Top Employer with 53,000 BAT people across more than 180 markets
- Brands sold in over 200 markets, made in 44 factories in 42 countries
- Newly established Tech Hubs building world-class capabilities for innovation in 4 strategic locations
- Diversity leader in the Financial Times and International Women’s Day Best Practice winner
- Seal Award winner – one of 50 most sustainable companies
BELONGING, ACHIEVING, TOGETHER
Collaboration, diversity and teamwork underpin everything we do here at BAT. We know that collaborating with colleagues from different backgrounds is what makes us stronger and best prepared to meet our business goals. Come bring your difference!
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