Customer Data Analytics Senior Specialist

Borusan Otomotiv

Qualıfıcatıon and Skills:

• Bachelor’s degree in Engineering (Computer, Industrial and etc), Math, Statistics or MIS
• Minimum 3 years of experience in analytical models/methods, segmentation, and predictive models,
• Proficiency in predictive modelling software & BI tools such as SAS, SPSS, Business Objects, Cognos, Microstrategy, Tableau,
• Understanding of Machine Learning and Deep Learning methodologies,
• Hadoop, SQL, R and Spark knowledge is a plus,
• Salesforce knowledge is a plus,
• Results-driven and delivery-focused,
• Project management and analytical thinking skills,
• Team work orientation and skilled in working with cross-functions,
• On time and high-quality attitude,
• Strong written, verbal communication skills in English.

• Experience in CRM, Marketing, BI or related disciplines preferred,
• Experience in Automotive sector is an advantage,
• Experience in customer journey insights considered an advantage,
• Experience in documenting and presenting analysis findings to key stakeholders,

İŞ TANIMI

• Perform data analytics to design models as customer segmentation, customer experience index, customer life time value, and digital index score etc.,
• Make recommendations based on data analysis to improve processes, increase sales & customer satisfaction,
• Carry out collaborations with business units such as Marketing, Sales & Aftersales Operations, and Customer Experience in order to provide better quality of service that meet customer needs,
• Develop dashboards to visualize and automate the insight derived from analysis,
• Evangelize the effective use of data-driven strategies across the organization,
• Create ad-hoc reports, target lists and analytical frameworks and automate report / list generation,
• Conceive of and operationalize data variables for statistical modeling purposes,
• Follow up the developments and benchmarks regarding analytical modeling and effectiveness of analytical processes.