GN SC&O - S&P Data Scientist - Specialist

Job Description

Job Title:GN - SC&O - S&P Data Specialist Management Level:09 - Specialist | Location:Bangalore Must have skills:Data Science KEY RESPONSIBILITIES Data Specialist work closely with the Head of Data Services and Products teams on delivering project independently, leading data analysts to carry out defined pieces of data analysis and secondary market research. Typical work streams: Client/External Supplier Interaction Liaison with various clients/suppliers and establish long-term relationship. Set expectations with customer on deliverables, negotiate on requirements, and obtain signoffs on thefinal deliverable. Lead data extraction efforts and guide data analysts in obtaining and analyzing it. Project Management Manage data analysts to adhere to project deadlines. Align with all internal teams to ensure buy-in from all stakeholders on the critical process pieces. Have formal weekly status review meetings with the delivery team/ CSM's/ Management as well as thecustomer. Understand and resolve any internal or external issues with the processed data or product effectivelyand efficiently. Data Management Guide data analysts and drive end to end data handling from collection to deliverable publish. Ensure that the process is fully documented and auditable. Solve day-to-day process problems as well as logical issues identify innovative approaches andsolutions. Work Experience: 5+ years of project management experience on Spend Analysis/ Procurement domain experience.Academic Qualifications:Masters or Bachelors in Engineering, Mathematics, Computer Science, Business orEconomics Skills Required: Strong leadership and team management skills Excellent analytical and research capabilities comfort and proficiency in handling large data analysisand secondary market research Good spoken and written (English) communication skills should be able to participate in global teamcalls. Excellent MS Excel skills ability to guide others in handling and structuring analysis. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovativeapproaches to problems/issues in data processing.Additional Skills/Experience Desired: Background in Data Management (knowledge of analytical tools like SAS, Alteryx, Qlik sense anddatabase tools like MS Access, SQL/Oracle database) Knowledge of taxonomies like UNSPSC, NAICS, SIC, E-Class, HTS and other custom specific taxonomies Knowledge of E2E automation for the data classification/Vendor Normalization process through ETL,Scripts or KB Lookups Knowledge of the sourcing, contract management, vendor discovery assessment, vendor riskmanagement, invoice reconciliation & leakage detection, spend miner services, P2P process, etc..