This position in Global Parts Supply (GPS) Aftermarket Data Analytics team (ADA) will be responsible to define, develop & maintain standard reports for a wider supply base through collaboration using safe source of data. This in turn help the management to visualize daily/weekly/monthly positions and trends of key business driving functionalities like Past Due, Backorder, Supplier Shipping Performance, etc.
Gather user requirements, collect, and document existing Safe Source data (tables / flat files), Identify Safe Source to establish & maintain Fact & Dimension tables for Business with TACCSS (Transactional, Accurate, Clean, Complete, Safe source & Standardized) data and establish dataflow diagrams.
Projects:
Collaborate with different teams to implement standards.
Lead performance improvement projects.
Work closely and influence global teams for process improvements.
Execute project milestones in a timely manner & effectively communicate progress to stakeholders.
BACKGROUN /EXPERIENCE :
Bachelor’s degree with 4-5 years of experience in the following areas:
Technical skills:
Strong SQL skills (RDBMS / SnowFlake).
Able to program in multiple languages (SAS, JavaScript).
Functional knowledge on Supply chain & Logistics.
Soft skills:
Ability to translate business requirements into data solutions.
Above average initiative.
Adaptability to changing priorities.
Strong customer focus and ability to work effectively with a wide variety of people.
Has the ability to work independently as well as in a team.
Eager to learn & improve, continuously hones their skills.
Strong solution-oriented analytic skills and shows creativity in their problem-solving.
Has great attention to detail without losing sight of the big picture.
Has great communication skills – Is able to represent the architect team, address their needs & requirements in meetings with process partners (inside & outside of the greater team).
Must be willing to work in different shifts to have enough overlap with global team.
Desired Qualifications:
APICS CPIM or CSCP certification.
Python, R, Mainframe / JCL, SnowSQL.
Experience with data mining and data analytics in large data sets.
Power BI report development.
Ability to automate programs / processes.
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